Difference between revisions of "Main Page"
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=== Data Mining Group === | === Data Mining Group === | ||
− | |||
====Papers ==== | ====Papers ==== | ||
*[https://drive.google.com/file/d/1UqhVbAUzIdepGyMQBdkjb77kHdME0TL2/view?usp=sharing Data Instructions] | *[https://drive.google.com/file/d/1UqhVbAUzIdepGyMQBdkjb77kHdME0TL2/view?usp=sharing Data Instructions] | ||
+ | ====HTML Slides ==== | ||
+ | *[https://drive.google.com/file/d/1F-GsnlS4ipQvmOOgKua-KAaaMH1oE7pm/view?usp=sharing 6.19 Slides] | ||
+ | *[https://drive.google.com/file/d/1Hw_lDLxsQFCjklGOlS3RSFDPX6Kn1r4A/view?usp=sharing 6.20 Slides] | ||
+ | *[https://drive.google.com/file/d/16svlI9Hb90jaGt3TTKDRB6SvYEdbMl6w/view?usp=sharing 6.21 Slides] | ||
+ | *[https://drive.google.com/file/d/1_1YKi48Gx2pO71OnuR9DFJQYDJHitA3j/view?usp=sharing 6.22 Slides] | ||
+ | *[https://drive.google.com/file/d/1zRW7VVTgpEoIIuiEzSa1MyJ_QtNC0GKA/view?usp=sharing 6.27 Slides] | ||
+ | *[https://drive.google.com/file/d/170fTV11eeGP6oi6CTp-YESJFGcAKBJRl/view?usp=sharing 6.28 Slides] | ||
+ | *[https://drive.google.com/file/d/1WHg5fZnFy0QFbM-tBkzo0BP4-2RR1I8K/view?usp=sharing 7.2 Slides] | ||
+ | *[https://drive.google.com/file/d/1_Kg-Zjdb1uezb445pb8wZ1ty2JwN5Z3C/view?usp=sharing 7.9 Slides] | ||
+ | *[https://drive.google.com/file/d/1Jgw2NgYbkY0U9gQc9dUl5BTcDUfXCX5o/view?usp=sharing 7.10 Slides] | ||
+ | *[https://drive.google.com/file/d/1i3A8xI2bKjLE8ZrJHTm-CeWrGfSZo4iQ/view?usp=sharing 7.11 Slides] | ||
+ | *[https://drive.google.com/file/d/1GfTMXiXriOJQhpIErcHejBR0xPPgxj9K/view?usp=sharing BDSI Classification 1] | ||
+ | *[https://drive.google.com/file/d/1GfTMXiXriOJQhpIErcHejBR0xPPgxj9K/view?usp=sharing BDSI Classification 2] | ||
=== Machine Learning Group === | === Machine Learning Group === | ||
+ | ====Research Lecture Slides ==== | ||
+ | *[https://drive.google.com/file/d/1HF9cD0cnBEShUVn2Lq9vQYpRxT2ZZ8DJ/view?usp=sharing Introduction] | ||
+ | *[https://drive.google.com/file/d/1LdxCkiFDmWGHcBYsHUw_W54cM6RETp8T/view?usp=sharing Explore MIMIC] | ||
+ | *[https://drive.google.com/file/d/15yChJcEgzHjrn_bhYF7wqaaLh5NMCkzA/view?usp=sharing Getting x and y] | ||
+ | *[https://drive.google.com/file/d/17BCOb3-t5ZJ3eE0Yy9rjlOGn0cn36PUp/view?usp=sharing Some tips] | ||
+ | *[https://drive.google.com/file/d/1T8PEwWfi7PA8uMnuA9_kF6BSz69A6VKM/view?usp=sharing Sample Pipeline] | ||
+ | *[https://drive.google.com/file/d/1OBckV_yjuYrl36tOF1lAKiOcWJA8-q34/view?usp=sharing Training Pipleline] | ||
+ | *[https://drive.google.com/file/d/1i1nel98HYV1mSpro5SaDoMdOqMH5i5Gr/view?usp=sharing CNN] | ||
+ | *[https://drive.google.com/file/d/1y14n4kl9u4LBQ9M5AnP6knFZpfwgOUAW/view?usp=sharing LSTM] | ||
+ | *[https://drive.google.com/file/d/1XF-P43lIhYXU0HnS0pyGrIvPzF4HiB0B/view?usp=sharing Structuring] | ||
+ | *[https://drive.google.com/file/d/12HgspYuZAVVSU49c8AEs8FPqZyoF3c1E/view?usp=sharing Dataset and DataLoader] | ||
+ | *[https://drive.google.com/file/d/1vnUj-Stf5arWNyLguCPuCm1OYRwZGGr1/view?usp=sharing pytorch models] | ||
+ | *[https://drive.google.com/file/d/1-r9sC3GMH_qVL3SCsPBgkDh9upS3hfEM/view?usp=sharing Model Development] | ||
+ | *[https://drive.google.com/file/d/1n2md6F3XQ85WOgMV_20G_DgFqmmBgU3k/view?usp=sharing Population] | ||
+ | *[https://drive.google.com/file/d/1HEAWEbwP7R1o-UZ1NcrMp2C0Ub3ivAzK/view?usp=sharing Benchmark Features] | ||
+ | *[https://drive.google.com/file/d/1QpFDYzmyQBvvT9tk4Nr7EYIbh8mMmMOr/view?usp=sharing Inclusion Exclusion] | ||
+ | ====Lecture Notes==== | ||
+ | *[https://drive.google.com/file/d/1ogusN8iQqfEfmarjKUqKtFZaSX-LZw3k/view?usp=sharing Recurrent Neural Networks] | ||
+ | *[https://drive.google.com/file/d/11sJeWngMmTpX_PWcobdxX180_xEzOfV-/view?usp=sharing Convolutional Neural Networks] | ||
+ | *[https://drive.google.com/file/d/17m8Y5DcmJCeHgB1spA_b27WYJvzyhLi4/view?usp=sharing Deep Learning] | ||
+ | *[https://drive.google.com/open?id=19qcnGMIdoYZ9mvPwsU2kAvZcqArmd6oO BDSI Lecture] | ||
+ | *[https://drive.google.com/open?id=1gZtk4LjLDcdUSBEsNZ1qTJ2UHRDL--JO Flux Guide] | ||
+ | *[https://drive.google.com/open?id=1XDX7hkicATX0y7cVDb9PDCsPZo1gLdPi Python Guide] | ||
+ | *[https://drive.google.com/open?id=1kueXa-kFk6DiKVqItTEL-sFT_xmHg9Fb Python Tutorial] | ||
+ | ====Readings==== | ||
+ | *[https://drive.google.com/file/d/1dvEdmapBY-jgdLOCZLdPwDgbybTWEni9/view?usp=sharing ARF Epidemiology] | ||
+ | *[https://drive.google.com/file/d/1EzJxIVlXgkGGge20eHGC5HGtl-E7CPO_/view?usp=sharing CNN for Sentence Clarification] | ||
+ | *[https://drive.google.com/file/d/1rdUGIYh7WkI4qbaJEQjaIXxaXtYYDvQN/view?usp=sharing Learning from Heterogenous Temporal Data] | ||
+ | *[https://drive.google.com/file/d/12aIplGTH982iBvR7Kao6UBk2lY9Q3311/view?usp=sharing MIMC 3] | ||
+ | *[https://drive.google.com/file/d/1jQVuZfnbrxzu79ujr_uKYQGvJVmkoJGy/view?usp=sharing MIMIC Benchmarks and Multitask RNN] | ||
+ | *[https://drive.google.com/file/d/1uh5U_-3NIoUUM7aItA39iTGNkgwI01M7/view?usp=sharing RNNs for Multivariate Time Series] | ||
+ | *[https://drive.google.com/file/d/1r1y4gez3o46mbqkaWP3umHJv6o6uvzf-/view?usp=sharing TREWScore for Septic Shock] | ||
+ | *[https://drive.google.com/file/d/1EZnegIgxpmKNLorKwtkh8Veh5kIJu-lV/view?usp=sharing TREWScore Supplement] | ||
=== Genomics Group === | === Genomics Group === | ||
+ | |||
+ | ===== Lectures ===== | ||
+ | *[https://drive.google.com/open?id=19jBLxGLRKtJD-5Id-H3d0AK0Vu_dfGko BDSI Genomics Intro] | ||
+ | *[https://drive.google.com/file/d/1nZkKKbwgRWkfEeyEGzsueJ8Dh_Zjahpv/view?usp=sharing PopGen Intro] | ||
+ | |||
+ | ===== Intro Exercises ===== | ||
+ | *[https://drive.google.com/open?id=1Wl1JensClieYfVNIcTWzJVxN_N7Tugte Single Cell Exercise] | ||
+ | *[https://drive.google.com/open?id=18yGPNL0ZhxJR6Rya4K1IDnH1E8Yz6sjS Single Cell R Code] | ||
+ | *[https://drive.google.com/file/d/1hFlCoxcw758XGfm_LrY6T9kuH6c0R6pJ/view?usp=sharing Intro Integrative] | ||
===== Papers ===== | ===== Papers ===== | ||
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*[https://drive.google.com/file/d/1Tzv1s58R0GVJBS0xYi2RiSYb4al25go_/view?usp=sharing Macosko_MouseRetinaDropSeq] | *[https://drive.google.com/file/d/1Tzv1s58R0GVJBS0xYi2RiSYb4al25go_/view?usp=sharing Macosko_MouseRetinaDropSeq] | ||
*[https://drive.google.com/file/d/1vg15r6G7jrXSgZXOxsnWKFwbBQnzr8iB/view?usp=sharing Single cell makes big data] | *[https://drive.google.com/file/d/1vg15r6G7jrXSgZXOxsnWKFwbBQnzr8iB/view?usp=sharing Single cell makes big data] | ||
− | ====== | + | ======Transcriptomics ====== |
*[https://drive.google.com/file/d/1SctF-SUft870PGg-43caqyN-B9sWxMh_/view?usp=sharing GamazonPrediXCan 2015] | *[https://drive.google.com/file/d/1SctF-SUft870PGg-43caqyN-B9sWxMh_/view?usp=sharing GamazonPrediXCan 2015] | ||
*[https://drive.google.com/file/d/1ioY2blWyZxDKonibl9baSXHAiUO2jNEU/view?usp=sharing GusevTWAS 2006] | *[https://drive.google.com/file/d/1ioY2blWyZxDKonibl9baSXHAiUO2jNEU/view?usp=sharing GusevTWAS 2006] | ||
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=== Imaging Group === | === Imaging Group === | ||
+ | *[https://drive.google.com/open?id=1FspYcn_B93e1BVQ6Q2QZxGygADd1khD7 Project Description] | ||
+ | *[https://drive.google.com/open?id=1-5F8sTNcoarpDFhLhyt7ETjx6BKqsokW BDSI Imaging R Tutorial] | ||
+ | *[https://drive.google.com/open?id=1Fikr9tXih99FRlNhktWvqi2XQfePRlmJ Imaging R Code] | ||
+ | |||
====Papers==== | ====Papers==== | ||
*[https://drive.google.com/file/d/1rs5SLylP-GwjYxzyUy5W5XmUJuDRZWj4/view?usp=sharing Intro to Radiomics] | *[https://drive.google.com/file/d/1rs5SLylP-GwjYxzyUy5W5XmUJuDRZWj4/view?usp=sharing Intro to Radiomics] | ||
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==== Day 1: June 18 ==== | ==== Day 1: June 18 ==== | ||
*[https://docs.google.com/presentation/d/e/2PACX-1vRQckVN89cMdtjnjaS7_FJ7BJFYvQIHvgUSXw2OTEhRtu56EZ2s9VSgq0I46Dmi7ryfXVmug5a2beLJ/pub?start=false&loop=false&delayms=60000 Welcome Slides 2018] - Bhramar Mukherjee, PhD | *[https://docs.google.com/presentation/d/e/2PACX-1vRQckVN89cMdtjnjaS7_FJ7BJFYvQIHvgUSXw2OTEhRtu56EZ2s9VSgq0I46Dmi7ryfXVmug5a2beLJ/pub?start=false&loop=false&delayms=60000 Welcome Slides 2018] - Bhramar Mukherjee, PhD | ||
+ | *[https://drive.google.com/file/d/1JCdOhE7NhhzjPi7ouqEA-ta81TbQBbWW/view?usp=sharing Training for Responsible Conduct in Research] - Bhramar Mukherjee, PhD | ||
+ | *[https://drive.google.com/file/d/1XhTTNyZR_egX4SyPc14E252FB9xTUQ6D/view?usp=sharing BDSIOrientationSupplement] - Bhramar Mukherjee, PhD | ||
+ | *[https://drive.google.com/file/d/1c5ZLytCDbUJ85wracUY5x9x8Xe1cztYW/view?usp=sharing BDSI Event Presentation] - Robert Peng | ||
+ | *[https://drive.google.com/file/d/1362WGLqQJ8mn5HhMmYVpRvqyLfd4XpjS/view?usp=sharing BDSI Life in Ann Arbor] - Stephen Salermo | ||
+ | *[https://drive.google.com/file/d/1LL0_i9jjjSQdIxe-NvWdk_z0MTaesbFJ/view?usp=sharing Al-Marzouki_s05] - The effect of scientific misconduct on the results of clinical trials: A Delphi survey | ||
+ | *[https://drive.google.com/open?id=1I5sMZBIzijzlvi3Xj13WTuS9AzVpa0Sf baggerlycoombes] - Deriving chemosensitivity from cell lines: forensic bioinformatics and reproducible research in high-throughput biology | ||
+ | *[https://drive.google.com/file/d/1YLUlWXPM4w8cqFROmoUj9npt2dJqb8za/view?usp=sharing ethicalguidelines] Ethical Guidelines for Statistical Practice | ||
+ | *[https://drive.google.com/file/d/1Zue_3Lh-RGAwF6EImm-nHC_7oX8KfwlM/view?usp=sharing ODS] - On being a scientist 2009 | ||
+ | *[https://drive.google.com/open?id=1i-sktSXggJAeHcKrSSEYGArEJmzle1_Y breiman] - Statistical Modeling: The Two Cultures | ||
+ | *[https://drive.google.com/file/d/1BYU00G8x5U4OW2Qhq6gRLQFSZ8ZYOt11/view?usp=sharing breimaninterview] - A conversation with Leo Breiman | ||
+ | =====Recorded Lectures===== | ||
+ | *[https://sph.hosted.panopto.com/Panopto/Pages/Viewer.aspx?id=7c7f99dc-7179-4420-a583-a903014b92c3 Klemmer Evening Lecture] | ||
− | |||
==== Day 2: June 19 ==== | ==== Day 2: June 19 ==== | ||
*[https://drive.google.com/open?id=1o3HfK3V1V3zoUxzKwEx9d0h_fGAIiP1D Study design and inference. ] - Roderick Little, PhD | *[https://drive.google.com/open?id=1o3HfK3V1V3zoUxzKwEx9d0h_fGAIiP1D Study design and inference. ] - Roderick Little, PhD | ||
+ | *[https://drive.google.com/open?id=1XMYhAs8WnxhC4vb7u1Eup4aWh0N-1pH1 Reproducible Research - Jedidiah Carlson] | ||
+ | *[https://drive.google.com/open?id=1vWCGrLCYETLlA3Z_91QLHPtr1b1tmnBq Data Processing] - Jed Carlson | ||
+ | *[https://drive.google.com/file/d/1u0uqMh8I8d7BomHSgKxiGwgnk3PE_aDB/view?usp=sharing cameronpaulingpnas1976] - Supplemental ascorbate in the supportive treatment of cancer: Prolongation of survival times in terminal human cancer. | ||
+ | *[https://drive.google.com/file/d/1ICwXElGosi-at-kxP36nS7Vd0Z3XKQU3/view?usp=sharing comroe1977] - Experimental studies designed to evaluate the management of patients with incurable cancer | ||
+ | *[https://drive.google.com/file/d/1qKKeiQkZQel20OQK-ejhcbpmV8wqwl0E/view?usp=sharing CREAGAN] - Failure of High-Dose Vitamin C therapy to benefit patients with advanced cancer | ||
+ | *[https://drive.google.com/file/d/1IuaVOmt24Sb_OPOfedRz26FOUdakEYzQ/view?usp=sharing neyman34jrss] - On the Two Different Aspects of the Representative Method: The Method of Stratified Sampling and the Method of Purposive Selection | ||
+ | |||
+ | =====Recorded Lectures===== | ||
+ | *[https://sph.hosted.panopto.com/Panopto/Pages/Viewer.aspx?id=142b0ba1-795a-4d9c-9c50-a90400d9f85a Reproducible Research] - J. Carlson | ||
+ | *[https://sph.hosted.panopto.com/Panopto/Pages/Viewer.aspx?id=17e02d6f-b195-4370-a354-a90400f37ff9 Study design and Inference] - R. Little | ||
==== Day 3: June 20 ==== | ==== Day 3: June 20 ==== | ||
*[https://drive.google.com/open?id=1OVsi449OGgrKqlnOBBsApizpg9gul-9H Observational Data] - Roderick Little, PhD | *[https://drive.google.com/open?id=1OVsi449OGgrKqlnOBBsApizpg9gul-9H Observational Data] - Roderick Little, PhD | ||
+ | *[https://drive.google.com/file/d/1K5UHDWDv_UyhuYUmt-wYtk6LiLT2mmiB/view?usp=sharing castnejm1989] - Preliminary report | ||
+ | *[https://drive.google.com/file/d/1LvFT7OcgPQKdQoqZuH2LPN-if0Mj-BM8/view?usp=sharing Tocainideahj80] - Prophylaxis of ventricular tachyarrythmias | ||
+ | *[https://drive.google.com/file/d/1Xdxds2fQgebLgauzI_Mfvc2tsZrDimHa/view?usp=sharing wakefieldlancet] - Ileal-lymphoid-nodular hyperplasia, non-specific colitis, and pervasive developmental disorder in children | ||
+ | *[https://drive.google.com/open?id=17gGeKY7lj0nE9Z5rVSS1xTgVbKzhV2HH R intro file] - Matthew Flickinger | ||
+ | *[https://drive.google.com/open?id=1x56tLgsucEp8fZdCyGoZKx2AJiC9cheY R intro Lecture] - Matthew Flickinger | ||
+ | *[https://drive.google.com/open?id=1Lsf3XverXb20zv8uuJiYdGh2qAc04HwZ Linear Algebra] - Klemmer | ||
+ | *[https://drive.google.com/open?id=1AvMWjfQMaDPBe90tLElJqyIEqMQkFXFN Matrix Algebra Lecture] - Klemmer | ||
+ | =====Recorded Lectures===== | ||
+ | *[https://sph.hosted.panopto.com/Panopto/Pages/Viewer.aspx?id=564ba8aa-7e11-4acb-9acc-a90500f3b197 Big Data pt. 2] - Roderick Little, PhD | ||
+ | *[https://sph.hosted.panopto.com/Panopto/Pages/Viewer.aspx?id=72425167-56ed-4016-a0a3-a905014b2154 Linear Algebra] - Klemmer | ||
==== Day 4: June 21 ==== | ==== Day 4: June 21 ==== | ||
+ | *[https://drive.google.com/file/d/1iihBno6cnaKJD_jy1hZjW55HAZGR-7jz/view?usp=sharing Linear Regression Slides] - Matthew Zawistowski | ||
+ | *[https://drive.google.com/open?id=1N4DVT3RQfnlWpdLrYs9NyK3bcaQepwqv Logistic Regression Slides] - Matthew Zawistowski | ||
+ | *[https://drive.google.com/file/d/1Is4wRzwpi9qjEgdRLaaiH5pnqAJV952s/view?usp=sharing R dplyr Slides] - Matthew Flickinger | ||
+ | *[https://drive.google.com/file/d/1U_djfdZ1l4Ladh7flByTJt0yBKj2_OBp/view?usp=sharing dplyr R code] - Flickinger | ||
+ | *[https://drive.google.com/file/d/1JajnEQi5V366UYMhHZu9O_Btt9miz0G5/view?usp=sharing dplyr R Flights] - Flickinger | ||
+ | *[https://drive.google.com/file/d/1ytD46IcZbBwZNAORxK_6dbqsDZ_JM7O3/view?usp=sharing dplyr OCSLS] - Flickinger | ||
+ | =====Recorded Lectures===== | ||
+ | *[https://sph.hosted.panopto.com/Panopto/Pages/Viewer.aspx?id=17b825db-efc1-4062-8fd4-a90600d75981 dplyr] - Matthew Flickinger | ||
+ | *[https://sph.hosted.panopto.com/Panopto/Pages/Viewer.aspx?id=f86c1be8-32ba-427b-82e6-a90600f41994 Logistic Regression] - Matthew Zawistowski | ||
+ | *[https://sph.hosted.panopto.com/Panopto/Pages/Viewer.aspx?id=e7d5c8c2-5774-46e9-a39e-a906014c1cc4 Linear Regression] - Matthew Zawistowski | ||
====Day 5: June 22 ==== | ====Day 5: June 22 ==== | ||
+ | *[https://drive.google.com/file/d/1zPvY7rTxaZtO4qNazEqM8UD4I3k-r0gS/view?usp=sharing State of Institute Slides] - Bhramar Mukherjee, PhD | ||
+ | *[https://drive.google.com/file/d/1Zf0yIVFTESB1NokCKrAPZRqZ65BeZHiE/view?usp=sharing Big Data 3 Slides] - Roderick Little, PhD | ||
+ | *[https://drive.google.com/file/d/11LnfEnT2po2SLJmodkaQfyrM8vUnjJPf/view?usp=sharing ggPlot 2 Slides] - Matthew Flickinger, PhD | ||
+ | *[https://drive.google.com/file/d/1riMRVCd5_hQQRlGr4F6PkR8L2JIWG25t/view?usp=sharing Dplyr_Sms] | ||
+ | *[https://drive.google.com/file/d/15Qy8K-r1KmpU8elEMIY4a0SUCaOdyo8G/view?usp=sharing ggplot2] | ||
*[https://drive.google.com/open?id=11bv6vYqV7NugbRP6668By2F_GB0SRmiX Parameter Estimation] - Roderick Little, PhD | *[https://drive.google.com/open?id=11bv6vYqV7NugbRP6668By2F_GB0SRmiX Parameter Estimation] - Roderick Little, PhD | ||
+ | *[https://drive.google.com/file/d/1AxwIOpI9h0iIcJvSJ0mQ7qxt1YTvGjEr/view?usp=sharing Fisher22philtransa] - On the Mathematical Foundations of Theoretical Statistics | ||
+ | =====Recorded Lectures===== | ||
+ | *[https://sph.hosted.panopto.com/Panopto/Pages/Viewer.aspx?id=3af6f347-406f-4d8b-9c0b-a90700f2f700 Parameter Estimation] - Rod Little | ||
+ | *[https://sph.hosted.panopto.com/Panopto/Pages/Viewer.aspx?id=45312fc9-60b5-41ca-935c-a907011267a4 Journey Lecture] - Sanchez | ||
=== <u>Week 2</u> === | === <u>Week 2</u> === | ||
==== Day 6: June 25 ==== | ==== Day 6: June 25 ==== | ||
+ | *[https://drive.google.com/file/d/1FBj8Uet0cJ02aMP6MHWvFeOuA2bkim4j/view?usp=sharing Matrix Computations] - Peisong Han | ||
+ | *[https://drive.google.com/file/d/11cgzTqWhq4-voT1zBIMjS2XvGbMFgQR6/view?usp=sharing Model Selection] - Lauren Beesley | ||
+ | *[https://drive.google.com/open?id=145d1lrONgCGX-CO_sx0o1hj5P4CMxg7o Python Lecture 1] - Max Smith | ||
+ | *[https://drive.google.com/file/d/1DUZRkidMf9qhH5pfomY7POcsDrkZ7n8L/view?usp=sharing Python Notebook 1] - Max Smith | ||
+ | =====Recorded Lectures===== | ||
+ | *[https://sph.hosted.panopto.com/Panopto/Pages/Viewer.aspx?id=61694d5a-30a4-41d3-81bc-a90a00d60405 Matrix Computations] - Han | ||
==== Day 7: June 26 ==== | ==== Day 7: June 26 ==== | ||
+ | *[https://drive.google.com/file/d/11cgzTqWhq4-voT1zBIMjS2XvGbMFgQR6/view?usp=sharing Model Selection II] - Lauren Beesley | ||
+ | *[https://drive.google.com/open?id=11LzWvnANtEtKASP0IsDYUuuQw4zhi8WD Machine Learning] - Jenna Wiens | ||
+ | *[https://drive.google.com/file/d/1yyRBiZrI5itTNmPdQBXR66wjC7sEwHzL/view?usp=sharing Python Lecture 2] - Max Smith | ||
+ | *[https://drive.google.com/file/d/1Uk7woOZ-Kyq2nkfNoLxjvG1iB8dnULUb/view?usp=sharing Python Notebook 2] - Max Smith | ||
+ | =====Recorded Lectures===== | ||
+ | *[https://sph.hosted.panopto.com/Panopto/Pages/Viewer.aspx?id=a35972c1-e7f9-40ea-b0b0-a90b00f3c36b Model Selection Lecture Recording] | ||
==== Day 8: June 27 ==== | ==== Day 8: June 27 ==== | ||
+ | *[https://drive.google.com/open?id=1byHN_lXS7FCiLl-qMqjd6HQlsUFVdKo2 Clustering] - Danai Koutra | ||
+ | *[https://drive.google.com/open?id=1z-TFLyWuQ6KqHFk5YZf59ystG6WPzgP2 Machine Learning II] - Jenna Wiens | ||
+ | *[https://drive.google.com/file/d/1vi5ChOdY49GFL4YKWgf1uEztZpx4an5r/view?usp=sharing Python Lecture 3] - Max Smith | ||
+ | *[https://drive.google.com/file/d/1sBh6yue4tQyQYEyJGZgYymCRLLDyCMLE/view?usp=sharing Python Notebook 3] - Max Smith | ||
==== Day 9: June 28 ==== | ==== Day 9: June 28 ==== | ||
+ | *[https://drive.google.com/file/d/1TJnGSuebCW53CPmeMa2LQbeum8mPZu61/view?usp=sharing Casual Interference Slides] - Zhenke Wu | ||
+ | *[https://drive.google.com/file/d/1hj_Kkg3AnmgQktYOua5PcZNE0gb2ldGg/view?usp=sharing Clustering Part 2 Slides] - Danai Koutra | ||
+ | =====Recorded Lectures===== | ||
+ | *[https://sph.hosted.panopto.com/Panopto/Pages/Viewer.aspx?id=4c2e8ad3-a066-4186-a5d8-a90d00f3ec3f Interference Lecture Recording] - Wu | ||
==== Day 10: June 29 ==== | ==== Day 10: June 29 ==== | ||
− | + | *[https://drive.google.com/file/d/1JcPNpmpy2pMEx4ZDGYrSw9D4OAHAZ2dR/view?usp=sharing R Loops Slides] - Flickinger | |
+ | *[https://drive.google.com/file/d/1MwFiZdbdsN5LunGuJengUIqW8DC9VNyt/view?usp=sharing dplyr NYC Flights] | ||
+ | *[https://drive.google.com/file/d/16WAFuS6QZLMm3p_wxQR1QUWf8ilWjNB0/view?usp=sharing dplyr OCSLS] | ||
+ | *[https://drive.google.com/file/d/196bEVAtY7pI72UhY_i3BawtMel0zx13C/view?usp=sharing dplyr sms] | ||
+ | *[https://drive.google.com/file/d/1VXohDZ2kVc_zsPaaP2ikTGJXx0oXmcnQ/view?usp=sharing ggplot MPG] | ||
+ | *[https://drive.google.com/file/d/1ALpHsZE3OLSCssBSPmxLFEj0EYMMW90_/view?usp=sharing ggplot NYC Flights] | ||
+ | *[https://drive.google.com/file/d/1BQdcx-nO9DuwTaGbh6j344HUwKh9uJKa/view?usp=sharing R Simulations] | ||
+ | =====Recorded Lectures===== | ||
+ | *[https://sph.hosted.panopto.com/Panopto/Pages/Viewer.aspx?id=fe2eaaf5-c6ed-49a2-81ed-a90e00d6637d Reading Like A Scientist] - Griffiths | ||
+ | *[https://sph.hosted.panopto.com/Panopto/Pages/Viewer.aspx?id=c35e5178-7bde-4f0c-b626-a90e00f3cb3f R and Loops] - Flickinger | ||
=== <u>Week 3</u> === | === <u>Week 3</u> === | ||
==== Day 11: July 2 ==== | ==== Day 11: July 2 ==== | ||
+ | *[https://drive.google.com/file/d/1pQUltPS9vOortgDoeJ-u-lMSv3Dg0o9H/view?usp=sharing Information Visualization Slides] - Kay | ||
+ | *[https://drive.google.com/file/d/19eonASEWp3gRKiTH8x_NwbYluefaARED/view?usp=sharing Data Mining Slides] - Najarian | ||
+ | =====Recorded Lectures===== | ||
+ | *[https://sph.hosted.panopto.com/Panopto/Pages/Viewer.aspx?id=523fba18-c518-4adb-8a33-a91100d68d51 Data Mining] - Najarian | ||
+ | *[https://sph.hosted.panopto.com/Panopto/Pages/Viewer.aspx?id=624967a6-e082-4cb4-b762-a91100f3129c Information Visualization] - Kay | ||
==== Day 12: July 3 ==== | ==== Day 12: July 3 ==== | ||
+ | *[https://drive.google.com/file/d/16EFWt1-YRVYZ-CPdjU1bBPdEOICgEqwz/view?usp=sharing Data Mining 2 Slides] - Najarian | ||
+ | *[https://drive.google.com/file/d/13W4pfNnQ6bpKkauWbgAt5A2F0aEMDM5k/view?usp=sharing Bayes Slides] - Wen | ||
+ | =====Recorded Lectures===== | ||
+ | *[https://sph.hosted.panopto.com/Panopto/Pages/Viewer.aspx?id=d5e31bac-36a4-4fd0-9ea3-a91200d65459 Data Mining 2] - Najarian | ||
+ | *[https://sph.hosted.panopto.com/Panopto/Pages/Viewer.aspx?id=b25cbf29-0c99-4923-8ff7-a91200f2ea45 Bayesian Statistics] - Wen | ||
==== Day 13: July 4 (NO CLASS) ==== | ==== Day 13: July 4 (NO CLASS) ==== | ||
==== Day 14: July 5 ==== | ==== Day 14: July 5 ==== | ||
+ | *[https://drive.google.com/file/d/1mU0TRlGd_26eXJySxp3Q8K3ZNJXP4iKv/view?usp=sharing Bayes Slides 2] - Wen | ||
+ | *[https://drive.google.com/file/d/1SsI4RNYAfCLSbI1vrwvm6WW6V8DfhvV3/view?usp=sharing Information Visualization 2 Slides] - Kay | ||
+ | =====Recorded Lectures===== | ||
+ | *[https://sph.hosted.panopto.com/Panopto/Pages/Viewer.aspx?id=d1348177-aee8-4b8a-ab1b-a91400d78ef2 Information Visualization 2] - Kay | ||
+ | *[https://sph.hosted.panopto.com/Panopto/Pages/Viewer.aspx?id=4c70691f-4af6-4378-81e2-a91400e576d9 Information Visualization 2 Contd.] - Kay | ||
+ | *[https://sph.hosted.panopto.com/Panopto/Pages/Viewer.aspx?id=dbdfc02a-fa2a-41d0-9f38-a91400f301c3 Bayesian Statistics 2] - Wen | ||
==== Day 15: July 6 ==== | ==== Day 15: July 6 ==== | ||
− | + | *[https://drive.google.com/file/d/1Vrs7fAuqH8t3GHc8peDLlkL2MuPabKrX/view?usp=sharing Grad School Slides] - Kidwell | |
+ | =====Recorded Lectures===== | ||
+ | *[https://sph.hosted.panopto.com/Panopto/Pages/Viewer.aspx?id=9f0b4930-ae0b-4b46-90ac-a91500d736b4 Grad School] - Kidwell | ||
=== <u>Week 4</u> === | === <u>Week 4</u> === | ||
==== Day 16: July 9 ==== | ==== Day 16: July 9 ==== | ||
− | + | *[https://drive.google.com/file/d/1rf01mdHYE7Yr_fuxVy-StcdUq8AkEL-P/view?usp=sharing Troubleshooting R Slides] - Flickinger | |
+ | *[https://drive.google.com/file/d/1liiNZJNO-qlNgzUbYdgzASnJbpUfi9_C/view?usp=sharing Troubleshooting R code] - Flickinger | ||
+ | =====Recorded Lectures===== | ||
+ | *[https://sph.hosted.panopto.com/Panopto/Pages/Viewer.aspx?id=b5ddefb5-2e4f-4139-abff-a91800d6d08a Computing] - Sun | ||
+ | *[https://sph.hosted.panopto.com/Panopto/Pages/Viewer.aspx?id=2cb79238-aeff-4e8c-890c-a91800f2fff6 Troubleshooting R] - Flickinger | ||
==== Day 17: July 10 ==== | ==== Day 17: July 10 ==== | ||
− | + | *[https://drive.google.com/file/d/1Nk0uNN-7VDuXzIftHFpripcNNkAvEY0P/view?usp=sharing Bayesian Data Analysis] - Chen | |
+ | =====Recorded Lectures===== | ||
+ | *[https://sph.hosted.panopto.com/Panopto/Pages/Viewer.aspx?id=bacd91ab-2cc9-4695-a26a-a91900d8e1d2 Bayesian Data Analysis pt 1] - Chen | ||
+ | *[https://sph.hosted.panopto.com/Panopto/Pages/Viewer.aspx?id=34af7429-ee17-4641-8be4-a91900f30839 Bayesian Data Analysis pt 2] - Chen | ||
==== Day 18: July 11 ==== | ==== Day 18: July 11 ==== | ||
− | + | *[https://drive.google.com/file/d/1Ycn2inNz8vgl8WqlLvjl93dKh_G0gXec/view?usp=sharing Quinn Research Slides] - Quinn | |
+ | =====Recorded Lectures===== | ||
+ | *[https://sph.hosted.panopto.com/Panopto/Pages/Viewer.aspx?id=61c8da1d-2532-4e31-a97a-a91a00f33b66 Qunn Lecture] - Quinn | ||
==== Day 19: July 12 ==== | ==== Day 19: July 12 ==== | ||
+ | *[https://drive.google.com/file/d/1YfvcL0-nPdajVxQSqwfz8p1rUtfpeygN/view?usp=sharing Predictive Analytics Slides] - Denton | ||
==== Day 20: July 13 ==== | ==== Day 20: July 13 ==== | ||
− | + | *[https://drive.google.com/file/d/1OCKujwZEXYVfyxgsmibwpJvnezwHPiZw/view?usp=sharing Resume/CV Slides] - Forbes | |
+ | *[https://drive.google.com/file/d/1A6_90NN2kHx6b4go9VB5JWn3VilP4YsL/view?usp=sharing Resume Rubric] - Forbes | ||
+ | =====Recorded Lectures===== | ||
+ | *[https://sph.hosted.panopto.com/Panopto/Pages/Viewer.aspx?id=0b4d27bd-a831-4890-b09c-a91c00d84978 Resume/CVs Lecture] - Forbes | ||
=== <u>Week 5</u> === | === <u>Week 5</u> === | ||
==== Day 21: July 16 ==== | ==== Day 21: July 16 ==== | ||
+ | *[https://drive.google.com/file/d/1bFHy0xIXkfo14UFW_1xNO3cgVmhGV7lI/view?usp=sharing Natural Language Processing Slides] - Karandeep | ||
+ | =====Recorded Lectures===== | ||
+ | *[https://sph.hosted.panopto.com/Panopto/Pages/Viewer.aspx?id=64bed0b1-05b0-434d-9391-a91f00d7c476 Natural Language Processing Lecture] - Karandeep | ||
==== Day 22: July 17 ==== | ==== Day 22: July 17 ==== | ||
+ | *[https://drive.google.com/file/d/1e5k7N4sxRQe7cO5GM9PWZkeXrBK-Vlu0/view?usp=sharing Optimization] - Jiang | ||
+ | =====Recorded Lectures===== | ||
+ | *[https://sph.hosted.panopto.com/Panopto/Pages/Viewer.aspx?id=fd5c0ca6-e387-48e0-8109-a92000d902ae Optimization Lecture] - Jiang | ||
==== Day 23: July 18 ==== | ==== Day 23: July 18 ==== | ||
+ | *[https://drive.google.com/file/d/1bvIANAi2QBligYMu5r1zYhElmS4KIOc6/view?usp=sharing Scientific Presentations Slides] - Zoellner | ||
+ | =====Recorded Lectures===== | ||
+ | *[https://sph.hosted.panopto.com/Panopto/Pages/Viewer.aspx?id=3790173a-b6db-403b-832b-a92100f32394 Scientific Presentations Lecture] - Zoellner | ||
+ | *[https://sph.hosted.panopto.com/Panopto/Pages/Viewer.aspx?id=4b34ca7b-86c7-4678-b514-a92100d7a146 Pick Me Lecture] - Griffiths | ||
==== Day 24: July 19 ==== | ==== Day 24: July 19 ==== | ||
+ | *[https://drive.google.com/file/d/1jqQ0MiJgYm9bGlXzE5upRKuGLCD7rdyy/view?usp=sharing Epigenomics Slides] - Smith | ||
+ | *[https://drive.google.com/file/d/1EM9pWl2lRZ7d5-zdp0mAtC6vOjCPklPb/view?usp=sharing Epigenomics Reading] - Smith | ||
+ | *[https://drive.google.com/file/d/1zqtg9Zda9GY7_NFIQmgUwlD98nAQjGT-/view?usp=sharing Zhong Research] - Smith | ||
+ | *[https://drive.google.com/file/d/1Bq0tP_VOnB6u3H6xTE_GqAd171PaBTDD/view?usp=sharing Epigenomics Supplementary Tables 1-5] - Smith | ||
+ | *[https://drive.google.com/file/d/1HW_xukUj2KBENKxwmQK_zuAvLNuUNm2a/view?usp=sharing Epigenomics Supplementary Table 6] - Smith | ||
+ | |||
+ | =====Recorded Lectures===== | ||
+ | *[https://sph.hosted.panopto.com/Panopto/Pages/Viewer.aspx?id=fcce8e3b-8316-4f9a-a082-a92200d76e40 Epigenomics Lecture] - Smith | ||
+ | *[https://sph.hosted.panopto.com/Panopto/Pages/Viewer.aspx?id=8d883801-6438-4c67-83dc-a92200f34d6a Social Network Lecture] - Budak | ||
==== Day 25: July 20 ==== | ==== Day 25: July 20 ==== | ||
− | + | *[https://drive.google.com/file/d/1J_zJfBR-7KJGL7IjCXwBZOhdvPaCCjDx/view?usp=sharing Mathematical Modeling Slides] - Eisenberg | |
− | = | + | *[https://drive.google.com/file/d/1GqsaDfVW7V0Bvn2l5iHXvsSv9SQ_FmwT/view?usp=sharing PolyA Simulation] - Eisenberg |
− | ==== | + | *[https://drive.google.com/file/d/1M2AF0lAjomIpONZcdgWCuJMC-L-MKYc8/view?usp=sharing PolyA R code] - Eisenberg |
− | + | =====Recorded Lectures===== | |
− | + | *[https://sph.hosted.panopto.com/Panopto/Pages/Viewer.aspx?id=dddff986-d7ae-46c9-b14d-a92300d7e0bf Mathematical Modeling Lecture] - Eisenberg | |
− | + | *[https://sph.hosted.panopto.com/Panopto/Pages/Viewer.aspx?id=475a0ca7-f65d-4af2-ae73-a92300f39603 Journey Lecture] - Pedro Orozco, BDSI Student Coordinator | |
− | |||
== Day 29: Symposium == | == Day 29: Symposium == | ||
− | + | '''2018 Professor Lectures Presentations''' | |
− | '''Student Poster Presentations''' | + | *[https://drive.google.com/file/d/19QJ9SmqsCP66urThKu5hlSxZdobyAd7z/view?usp=sharing 2018 Symposium Flyer] |
+ | *[https://drive.google.com/file/d/1ukz_fd4kLGR2JaqjbAdFz6HuRmkD9BdM/view?usp=sharing Symposium Welcome Remarks] | ||
+ | *[https://drive.google.com/file/d/1yUAUsxe_aElBdfZDItsdkBFKgJs9Ig8N/view?usp=sharing Calibration Concordance] - Chen | ||
+ | *[https://drive.google.com/file/d/1U8Rt4mDPAmZuqv9RXhsPkMnL1VmoI3G0/view?usp=sharing Data Science and Predictive Health Analytics] - Dinov | ||
+ | *[https://drive.google.com/file/d/118HtI_euaMBmCl7-bibqDYJPRlablmOY/view?usp=sharing Models of Human Choice] - Feinberg | ||
+ | *[https://drive.google.com/file/d/1O3q32tp2J87Tmigz75ozVAonX-YYKwam/view?usp=sharing Linking Tumor with Personalized Medicine] - Rao | ||
+ | *[https://drive.google.com/file/d/1eFBzOkXbNyaP4s0o7kemHVSbhgxfqUmz/view?usp=sharing Humanist Approach to Data Science] - Schutt | ||
+ | *[https://drive.google.com/file/d/1kuDFENM8UwzxL_ve70jwca717RTDjzXA/view?usp=sharing Big Data in the Social Sciences] - Titunik | ||
+ | *[https://drive.google.com/file/d/19bnSFP9xPQg7i6lQ1bdO439Gj7iyf1R9/view?usp=sharing Detecting Epistasis in Large Scale Genetic Mapping] - Zhou | ||
+ | '''2018 Student Poster Presentations''' | ||
+ | *[https://drive.google.com/file/d/1TGNqkCAV9eBJ_-zHbiU-yo3N4Aowm_HB/view?usp=sharing Imaging Group Presentation] | ||
+ | *[https://drive.google.com/file/d/1S01_WV6wfJ6BE2Op-01byw0WFUZadPjR/view?usp=sharing Machine Learning Group Presentation] | ||
+ | *[https://drive.google.com/file/d/1LlZgR4TAlyYaS88bQ6qgZncWFuS0lFuC/view?usp=sharing Genetics Group Presentation] | ||
+ | *[https://drive.google.com/file/d/1HqWZFGjHgIYOoqqlpQxc0qn9y7PTa4hD/view?usp=sharing Data Mining Presentation] | ||
+ | '''2017 Student Poster Presentations''' | ||
+ | *[https://drive.google.com/file/d/0B2ht_TCS6xC-WFNPZzd5TndqZ0U/view?usp=sharing Data Mining/ Machine Learning] | ||
+ | *[https://drive.google.com/file/d/0B2ht_TCS6xC-S2xrUFM0ZEI3dGM/view?usp=sharing Electronic Health Records (EHR)] | ||
+ | *[https://drive.google.com/file/d/0B2ht_TCS6xC-NEZ1YnQyVW0tREE/view?usp=sharing Genomics] | ||
+ | *[https://drive.google.com/file/d/0B2ht_TCS6xC-cDVJNUtIcjRjcFE/view?usp=sharing Imaging] | ||
+ | =====2017 Symposium Reference Files===== | ||
+ | *[https://drive.google.com/file/d/1zwuVp6_sIRIlKx79-i0uZRp6Gtooi6g8/view?usp=sharing 2017 Symposium Program] | ||
+ | *[https://drive.google.com/file/d/18FfpzqxwPSunJfHM3pHDxYYggAPlKgWX/view?usp=sharing 2017 Symposium Flyer] | ||
+ | ======2017 Symposium Projects====== | ||
+ | *[https://drive.google.com/file/d/0B2ht_TCS6xC-Zm5RWHByeWdUd2M/view?usp=sharing A Time-to-Event Analysis of Heart Failure via Electronic Health Records] | ||
+ | *[https://drive.google.com/file/d/0B2ht_TCS6xC-UEIwRVNZaVJXRFk/view?usp=sharing Melanoma Detection by Classifying Skin Lesion Images] | ||
+ | *[https://drive.google.com/file/d/0B2ht_TCS6xC-VEk4RExSSkV3NGM/view?usp=sharing Classifying Skin Lesions Images Using Adaptive Boosting] | ||
+ | *[https://drive.google.com/file/d/0B2ht_TCS6xC-RDR1UmtsV3hFUVk/view?usp=sharing Machine Learning Classification of Skin Lesion Images] | ||
+ | *[https://drive.google.com/file/d/0B2ht_TCS6xC-YWs0alJGdTA3UE0/view?usp=sharing Genomics: Genome Storage and Assembly] | ||
+ | *[https://drive.google.com/file/d/0B2ht_TCS6xC-SU1KWFdPcWZzMEk/view?usp=sharing Predicting the Transcriptome from the Genome] | ||
+ | *[https://drive.google.com/file/d/0B2ht_TCS6xC-VGhDZlZZeHAyRDQ/view?usp=sharing Classification of Cell Types from Peripheral Mononuclear Blood Cells] | ||
+ | *[https://drive.google.com/file/d/0B2ht_TCS6xC-bzRTUTlQek9JRGM/view?usp=sharing EHR-Based Study of Long-Term Infectious Diseases] | ||
+ | *[https://drive.google.com/file/d/0B2ht_TCS6xC-VjRsZkJfalVNbVk/view?usp=sharing Visualizing Lab and Phenotype Associations Using PheWAS and Electronic Health Records] | ||
+ | *[https://drive.google.com/file/d/0B2ht_TCS6xC-NXJoemNibTFxZXc/view?usp=sharing Data Mining: Microenvironment Microarray Spot Based Approach for Cell Prediction] | ||
+ | *[https://drive.google.com/file/d/0B2ht_TCS6xC-VDdJQmtOZHR6RE0/view?usp=sharing Estimating Cell Growth with Machine Learning and Data Mining] | ||
== Additional Resources == | == Additional Resources == | ||
* [[DataCamp Resources]] | * [[DataCamp Resources]] | ||
+ | * [[https://drive.google.com/file/d/15pPcBQrTBj9ze9VthpTZLmkEa3yRaz8T/view?usp=sharing Daily Schedule]] - Last update July 3, 2018 |
Latest revision as of 08:36, 27 July 2018
Welcome to the U-M Big Data Summer Institute 2018 Wiki!
Consult the User's Guide for information on using the wiki software.
Contents
- 1 Reading Material
- 2 2018 Presentations
- 3 Day 29: Symposium
- 4 Additional Resources
Reading Material
Data Mining Group
Papers
HTML Slides
- 6.19 Slides
- 6.20 Slides
- 6.21 Slides
- 6.22 Slides
- 6.27 Slides
- 6.28 Slides
- 7.2 Slides
- 7.9 Slides
- 7.10 Slides
- 7.11 Slides
- BDSI Classification 1
- BDSI Classification 2
Machine Learning Group
Research Lecture Slides
- Introduction
- Explore MIMIC
- Getting x and y
- Some tips
- Sample Pipeline
- Training Pipleline
- CNN
- LSTM
- Structuring
- Dataset and DataLoader
- pytorch models
- Model Development
- Population
- Benchmark Features
- Inclusion Exclusion
Lecture Notes
- Recurrent Neural Networks
- Convolutional Neural Networks
- Deep Learning
- BDSI Lecture
- Flux Guide
- Python Guide
- Python Tutorial
Readings
- ARF Epidemiology
- CNN for Sentence Clarification
- Learning from Heterogenous Temporal Data
- MIMC 3
- MIMIC Benchmarks and Multitask RNN
- RNNs for Multivariate Time Series
- TREWScore for Septic Shock
- TREWScore Supplement
Genomics Group
Lectures
Intro Exercises
Papers
Population Genetics
Single Cell RNA
Transcriptomics
Online videos to better understand genetics and genomics
Genetics
- Introduction to Genetics by 23andMe (5 videos)
- TED-Ed : How Mendel's pea plants helped us understand genetics - Hortensia Jiménez Díaz
- Genetic Recombination and Gene Mapping by Bozeman Science
- Useful Genetics : A college-level comprehensive genetics course with 292 lectures offered by Rosie Redfield at UBC
Useful 3D Animations
- From DNA to protein - 3D Animation
- DNA Transcription - 3D Animation
- DNA splicing - 3D Animation
- mRNA Translation - 3D Animation
- How DNA is packaged - 3D Animation
- The Central Dogma - 3D Animation
Gene Regulation and Epigenetics
- Epigenetics Lecture by SciShow
- Hi-C Technique : A 3D map of the Human Genome
- The ENCODE Project
- RNAi by Nature Video
Sequencing Technologies
- TED-Ed : The race to sequence the human genome - Tien Nguyen
- DropSeq - Droplet-based Single Cell Sequencing by McCarroll Lab
Imaging Group
Papers
2018 Presentations
Week 1
Day 0: June 17
- Orientation Slides 2018 - Bhramar Mukherjee, PhD
Day 1: June 18
- Welcome Slides 2018 - Bhramar Mukherjee, PhD
- Training for Responsible Conduct in Research - Bhramar Mukherjee, PhD
- BDSIOrientationSupplement - Bhramar Mukherjee, PhD
- BDSI Event Presentation - Robert Peng
- BDSI Life in Ann Arbor - Stephen Salermo
- Al-Marzouki_s05 - The effect of scientific misconduct on the results of clinical trials: A Delphi survey
- baggerlycoombes - Deriving chemosensitivity from cell lines: forensic bioinformatics and reproducible research in high-throughput biology
- ethicalguidelines Ethical Guidelines for Statistical Practice
- ODS - On being a scientist 2009
- breiman - Statistical Modeling: The Two Cultures
- breimaninterview - A conversation with Leo Breiman
Recorded Lectures
Day 2: June 19
- Study design and inference. - Roderick Little, PhD
- Reproducible Research - Jedidiah Carlson
- Data Processing - Jed Carlson
- cameronpaulingpnas1976 - Supplemental ascorbate in the supportive treatment of cancer: Prolongation of survival times in terminal human cancer.
- comroe1977 - Experimental studies designed to evaluate the management of patients with incurable cancer
- CREAGAN - Failure of High-Dose Vitamin C therapy to benefit patients with advanced cancer
- neyman34jrss - On the Two Different Aspects of the Representative Method: The Method of Stratified Sampling and the Method of Purposive Selection
Recorded Lectures
- Reproducible Research - J. Carlson
- Study design and Inference - R. Little
Day 3: June 20
- Observational Data - Roderick Little, PhD
- castnejm1989 - Preliminary report
- Tocainideahj80 - Prophylaxis of ventricular tachyarrythmias
- wakefieldlancet - Ileal-lymphoid-nodular hyperplasia, non-specific colitis, and pervasive developmental disorder in children
- R intro file - Matthew Flickinger
- R intro Lecture - Matthew Flickinger
- Linear Algebra - Klemmer
- Matrix Algebra Lecture - Klemmer
Recorded Lectures
- Big Data pt. 2 - Roderick Little, PhD
- Linear Algebra - Klemmer
Day 4: June 21
- Linear Regression Slides - Matthew Zawistowski
- Logistic Regression Slides - Matthew Zawistowski
- R dplyr Slides - Matthew Flickinger
- dplyr R code - Flickinger
- dplyr R Flights - Flickinger
- dplyr OCSLS - Flickinger
Recorded Lectures
- dplyr - Matthew Flickinger
- Logistic Regression - Matthew Zawistowski
- Linear Regression - Matthew Zawistowski
Day 5: June 22
- State of Institute Slides - Bhramar Mukherjee, PhD
- Big Data 3 Slides - Roderick Little, PhD
- ggPlot 2 Slides - Matthew Flickinger, PhD
- Dplyr_Sms
- ggplot2
- Parameter Estimation - Roderick Little, PhD
- Fisher22philtransa - On the Mathematical Foundations of Theoretical Statistics
Recorded Lectures
- Parameter Estimation - Rod Little
- Journey Lecture - Sanchez
Week 2
Day 6: June 25
- Matrix Computations - Peisong Han
- Model Selection - Lauren Beesley
- Python Lecture 1 - Max Smith
- Python Notebook 1 - Max Smith
Recorded Lectures
- Matrix Computations - Han
Day 7: June 26
- Model Selection II - Lauren Beesley
- Machine Learning - Jenna Wiens
- Python Lecture 2 - Max Smith
- Python Notebook 2 - Max Smith
Recorded Lectures
Day 8: June 27
- Clustering - Danai Koutra
- Machine Learning II - Jenna Wiens
- Python Lecture 3 - Max Smith
- Python Notebook 3 - Max Smith
Day 9: June 28
- Casual Interference Slides - Zhenke Wu
- Clustering Part 2 Slides - Danai Koutra
Recorded Lectures
Day 10: June 29
- R Loops Slides - Flickinger
- dplyr NYC Flights
- dplyr OCSLS
- dplyr sms
- ggplot MPG
- ggplot NYC Flights
- R Simulations
Recorded Lectures
- Reading Like A Scientist - Griffiths
- R and Loops - Flickinger
Week 3
Day 11: July 2
- Information Visualization Slides - Kay
- Data Mining Slides - Najarian
Recorded Lectures
- Data Mining - Najarian
- Information Visualization - Kay
Day 12: July 3
- Data Mining 2 Slides - Najarian
- Bayes Slides - Wen
Recorded Lectures
- Data Mining 2 - Najarian
- Bayesian Statistics - Wen
Day 13: July 4 (NO CLASS)
Day 14: July 5
- Bayes Slides 2 - Wen
- Information Visualization 2 Slides - Kay
Recorded Lectures
- Information Visualization 2 - Kay
- Information Visualization 2 Contd. - Kay
- Bayesian Statistics 2 - Wen
Day 15: July 6
- Grad School Slides - Kidwell
Recorded Lectures
- Grad School - Kidwell
Week 4
Day 16: July 9
- Troubleshooting R Slides - Flickinger
- Troubleshooting R code - Flickinger
Recorded Lectures
- Computing - Sun
- Troubleshooting R - Flickinger
Day 17: July 10
- Bayesian Data Analysis - Chen
Recorded Lectures
- Bayesian Data Analysis pt 1 - Chen
- Bayesian Data Analysis pt 2 - Chen
Day 18: July 11
- Quinn Research Slides - Quinn
Recorded Lectures
- Qunn Lecture - Quinn
Day 19: July 12
- Predictive Analytics Slides - Denton
Day 20: July 13
- Resume/CV Slides - Forbes
- Resume Rubric - Forbes
Recorded Lectures
- Resume/CVs Lecture - Forbes
Week 5
Day 21: July 16
- Natural Language Processing Slides - Karandeep
Recorded Lectures
- Natural Language Processing Lecture - Karandeep
Day 22: July 17
- Optimization - Jiang
Recorded Lectures
- Optimization Lecture - Jiang
Day 23: July 18
- Scientific Presentations Slides - Zoellner
Recorded Lectures
- Scientific Presentations Lecture - Zoellner
- Pick Me Lecture - Griffiths
Day 24: July 19
- Epigenomics Slides - Smith
- Epigenomics Reading - Smith
- Zhong Research - Smith
- Epigenomics Supplementary Tables 1-5 - Smith
- Epigenomics Supplementary Table 6 - Smith
Recorded Lectures
- Epigenomics Lecture - Smith
- Social Network Lecture - Budak
Day 25: July 20
- Mathematical Modeling Slides - Eisenberg
- PolyA Simulation - Eisenberg
- PolyA R code - Eisenberg
Recorded Lectures
- Mathematical Modeling Lecture - Eisenberg
- Journey Lecture - Pedro Orozco, BDSI Student Coordinator
Day 29: Symposium
2018 Professor Lectures Presentations
- 2018 Symposium Flyer
- Symposium Welcome Remarks
- Calibration Concordance - Chen
- Data Science and Predictive Health Analytics - Dinov
- Models of Human Choice - Feinberg
- Linking Tumor with Personalized Medicine - Rao
- Humanist Approach to Data Science - Schutt
- Big Data in the Social Sciences - Titunik
- Detecting Epistasis in Large Scale Genetic Mapping - Zhou
2018 Student Poster Presentations
- Imaging Group Presentation
- Machine Learning Group Presentation
- Genetics Group Presentation
- Data Mining Presentation
2017 Student Poster Presentations
2017 Symposium Reference Files
2017 Symposium Projects
- A Time-to-Event Analysis of Heart Failure via Electronic Health Records
- Melanoma Detection by Classifying Skin Lesion Images
- Classifying Skin Lesions Images Using Adaptive Boosting
- Machine Learning Classification of Skin Lesion Images
- Genomics: Genome Storage and Assembly
- Predicting the Transcriptome from the Genome
- Classification of Cell Types from Peripheral Mononuclear Blood Cells
- EHR-Based Study of Long-Term Infectious Diseases
- Visualizing Lab and Phenotype Associations Using PheWAS and Electronic Health Records
- Data Mining: Microenvironment Microarray Spot Based Approach for Cell Prediction
- Estimating Cell Growth with Machine Learning and Data Mining
Additional Resources
- DataCamp Resources
- [Daily Schedule] - Last update July 3, 2018