Difference between revisions of "Main Page"

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	*[https://drive.google.com/open?id=1kueXa-kFk6DiKVqItTEL-sFT_xmHg9Fb Python Tutorial]		*[https://drive.google.com/open?id=1kueXa-kFk6DiKVqItTEL-sFT_xmHg9Fb Python Tutorial]
	====Readings====		====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 ===
Line 262:		Line 270:
	*[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=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		*[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		*[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
−	=== <u>Week 6</u> ===	+	*[https://drive.google.com/file/d/1GqsaDfVW7V0Bvn2l5iHXvsSv9SQ_FmwT/view?usp=sharing PolyA Simulation] - Eisenberg
−	==== Day 26: July 23 ====	+	*[https://drive.google.com/file/d/1M2AF0lAjomIpONZcdgWCuJMC-L-MKYc8/view?usp=sharing PolyA R code] - Eisenberg
−		+	=====Recorded Lectures=====
−	==== Day 27: July 24 ====	+	*[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 28: July 25 ====
	== Day 29: Symposium ==		== Day 29: Symposium ==
		+	'''2018 Professor Lectures Presentations'''
	*[https://drive.google.com/file/d/19QJ9SmqsCP66urThKu5hlSxZdobyAd7z/view?usp=sharing 2018 Symposium Flyer]		*[https://drive.google.com/file/d/19QJ9SmqsCP66urThKu5hlSxZdobyAd7z/view?usp=sharing 2018 Symposium Flyer]
−	'''Student Poster Presentations'''	+	*[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=====		=====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/1zwuVp6_sIRIlKx79-i0uZRp6Gtooi6g8/view?usp=sharing 2017 Symposium Program]
	*[https://drive.google.com/file/d/18FfpzqxwPSunJfHM3pHDxYYggAPlKgWX/view?usp=sharing 2017 Symposium Flyer]		*[https://drive.google.com/file/d/18FfpzqxwPSunJfHM3pHDxYYggAPlKgWX/view?usp=sharing 2017 Symposium Flyer]
	======2017 Symposium Projects======		======2017 Symposium Projects======
−	*[https://drive.google.com/file/d/1zU2ygzYbF3R0V_fFjaOvHaUc15EF4QXF/view?usp=sharing DM - Estimating Cell Growth with Data Mining]	+	*[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/1hwOCAZqOJJmwNCjIT3gtMFOWrlLqBjal/view?usp=sharing DM - Microenvironment Microarray Spot Based Approach]	+	*[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/1pd7s2DaBp_NMLxv_afZc5fHl5nM9kA9L/view?usp=sharing EHR - A Time-To-Event Analysis of Heart Failure]	+	*[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/1Y1O5gPp_Xix7Ec7u66Z8onjbfATrQhVv/view?usp=sharing EHR - Visualizing Lab and Phenotype Associations]	+	*[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/12GxjFRO9vUlEa-XPpJeRI-xVusHWKM2X/view?usp=sharing EHR - Based Study on Long Term Infectious Diseases]	+	*[https://drive.google.com/file/d/0B2ht_TCS6xC-YWs0alJGdTA3UE0/view?usp=sharing Genomics: Genome Storage and Assembly]
−	*[https://drive.google.com/file/d/1ajzjhjozNVgvDWq6TSFBCz-Cy2mPYh27/view?usp=sharing GEN - Classification of Cell Types from Peripheral Blood Cells]	+	*[https://drive.google.com/file/d/0B2ht_TCS6xC-SU1KWFdPcWZzMEk/view?usp=sharing Predicting the Transcriptome from the Genome]
−	*[https://drive.google.com/file/d/1he4Rl-ue_YSDIkTNrJ4aGyt4vpVp2YC_/view?usp=sharing GEN - 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/1vJyV4ZshWyDce2YT8MFFshmKFSlNshcI/view?usp=sharing GEN - Genomome Storage and Assembly]	+	*[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/1Csd4Xv2Vl_wo-HIS7YxnN_mhu549Dye-/view?usp=sharing IMG - Machine Learning Classification of Skin Lesion Images]	+	*[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/19XsJs0bEU4VZ8LOj5XX4pTkfDV6PeNgI/view?usp=sharing IMG - Classifying Skin Lesion Images Using Adaptive Boosting]	+	*[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/1Mlce3h2_iPxmkOWEiQmrOtU3C5KeKorz/view?usp=sharing IMG - Melanoma Detection by Classifying Skin Lesion Images]	+	*[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		* [[https://drive.google.com/file/d/15pPcBQrTBj9ze9VthpTZLmkEa3yRaz8T/view?usp=sharing Daily Schedule]] - Last update July 3, 2018

---

Latest revision as of 09:36, 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.

Reading Material

Data Mining Group

Papers

• Data Instructions

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

• BDSI Genomics Intro
• PopGen Intro

Intro Exercises

• Single Cell Exercise
• Single Cell R Code
• Intro Integrative

Papers

Population Genetics

• 1000 Genomes Project
• Cavalli SforzaHGDP 2005
• LiHGDP 2008
• NovembreNature 2008

Single Cell RNA

• Macosko_MouseRetinaDropSeq
• Single cell makes big data

Transcriptomics

• GamazonPrediXCan 2015
• GusevTWAS 2006

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

• Project Description
• BDSI Imaging R Tutorial
• Imaging R Code

Papers

• Intro to Radiomics
• Skin Imaging

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

• Klemmer Evening Lecture

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

• Model Selection Lecture Recording

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

• Interference Lecture Recording - Wu

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

• Data Mining/ Machine Learning
• Electronic Health Records (EHR)
• Genomics
• Imaging

2017 Symposium Reference Files

• 2017 Symposium Program
• 2017 Symposium Flyer

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