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+ | If you're on the hunt for N.O.V.A. Legacy cheats, particularly for generating Money Trilithium, you're not alone. Many players are looking to enhance their gaming experience without the grind. The good news is that there are effective ways to find reliable resources for N.O.V.A. Legacy cheats and generators. | ||
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+ | '''ˇˇˇ CLICK WEBSITE BELOW ˇˇˇ | ||
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+ | '''https://www.apkcheats.org/0a1032c''' | ||
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+ | In summary, finding reliable N.O.V.A. Legacy cheats or generators—especially those offering Money Trilithium without surveys—is achievable with some research and engagement within the right communities online. Equip yourself with knowledge from fellow gamers, stay cautious of scams, and elevate your gameplay today! | ||
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+ | <strong>Welcome to the U-M Big Data 2016 Summer Program Wiki!</strong> | ||
+ | |||
+ | Consult the [//meta.wikimedia.org/wiki/Help:Contents User's Guide] for information on using the wiki software. | ||
+ | |||
+ | == Reading Material == | ||
+ | |||
+ | === Data Mining Group === | ||
+ | * [https://drive.google.com/open?id=0B3PztChLdg5Vd3ZLeHB1bzN4VXM Automatic Construction and Natural-Language Description] | ||
+ | * [https://drive.google.com/open?id=0B3PztChLdg5VSGFjUHNjeUpPcG8 Interestingness Measures for Data Mining a Survey] | ||
+ | * [https://drive.google.com/open?id=0B3PztChLdg5VcEwxSzJXRkJvVjg Fast Algorithms for Mining Association Rules] | ||
+ | |||
+ | === EHR Group === | ||
+ | * [https://drive.google.com/open?id=0B3PztChLdg5VS3BhWW00YURHZTg Statistical Inference, Learning and Models in Big Data] | ||
+ | * [https://drive.google.com/open?id=0B3PztChLdg5VXzVHX244ejZDUVE USRDS 2015 Annual Data Report, Volume 1: Chronic Kidney Disease] | ||
+ | * [https://drive.google.com/open?id=0B3PztChLdg5VSzNuZnNjV3d0ZTA Dialysis Facility Characteristics and Services] | ||
+ | * [https://drive.google.com/open?id=0B3PztChLdg5VS1FVeUJRMTRhODA Data Dictionary for Quarterly Dialysis Facility Compare] | ||
+ | * [https://drive.google.com/open?id=0B3PztChLdg5VcnFmSVIyZ2MwRHM USRDS Introduction to Volume 1: CKD in the United States] | ||
+ | |||
+ | === Genomics Group === | ||
+ | * [https://drive.google.com/open?id=0B3PztChLdg5VdHhkcmJYS2h4RjA A Global Reference for Human Genetic Variation] | ||
+ | * [https://drive.google.com/open?id=0B3PztChLdg5VU0JmRXFWY1ZBdHM A Map of Human Genome Variation from Population-Scale Sequencing] | ||
+ | |||
+ | == 2016 Presentations == | ||
+ | |||
+ | === Day 1: June 13 === | ||
+ | * [https://drive.google.com/open?id=0B2ht_TCS6xC-RTNSaC11TGxiSnM Orientation 2016 (slides)] - Bhramar Mukherjee, PhD | ||
+ | * [https://drive.google.com/open?id=0B2ht_TCS6xC-UmNwWkx3T2hqbG8 Welcome Reception (slides)] - Bhramar Mukherjee, PhD | ||
+ | * [https://drive.google.com/open?id=0B2ht_TCS6xC-R2d5VFlLUXc3N28 Computing Resources (slides)] | ||
+ | * [https://drive.google.com/open?id=0B2ht_TCS6xC-Tl9FbVR4clBKUjg Ethics Review (slides)] | ||
+ | * [https://drive.google.com/open?id=0B2ht_TCS6xC-SXNvY0p2TGJpdVE On Being A Scientist (slides)] | ||
+ | * [https://drive.google.com/open?id=0B2ht_TCS6xC-blBLSEdxdnVBWm8 Life in Ann Arbor (slides)] - Evan Reynolds, Biostatistics PhD Student | ||
+ | * [https://drive.google.com/open?id=0B2ht_TCS6xC-SENCWUFHa2gyb2M Intro to Probabilities and Distributions (file)] - Rebecca Rothwell, Biostatistics PhD student | ||
+ | |||
+ | === Day 2: June 14 === | ||
+ | * [https://github.com/thejakeyboy/Python-Lectures Computing Platforms (website)] - Jacob Abernethy, PhD | ||
+ | * [https://sph.hosted.panopto.com/Panopto/Pages/Viewer.aspx?id=59e064c0-b252-4e24-a2eb-636b039c13a6 Introductory Statistics (slides & audio)] - Bhramar Mukherjee, PhD | ||
+ | |||
+ | === Day 3: June 15 === | ||
+ | * [https://drive.google.com/open?id=0B2ht_TCS6xC-QUk4RXhPR1A2TGc Intro to Unix (slides)] - Hyun Min Kang, PhD | ||
+ | |||
+ | === Day 4: June 16 === | ||
+ | * [https://github.com/thejakeyboy/Python-Lectures Data Structure using Python (website)] - Jacob Abernethy, PhD | ||
+ | * [https://sph.hosted.panopto.com/Panopto/Pages/Viewer.aspx?id=329bb282-bb1f-41bf-838b-d152a1cddd61 Observational Data, Bias and Confounding (slides & audio)] - Roderick Little, PhD | ||
+ | |||
+ | === Day 5 June 17 === | ||
+ | * [https://github.com/thejakeyboy/Python-Lectures Data Structure using Python (website)] - Jacob Abernethy, PhD | ||
+ | * [https://sph.hosted.panopto.com/Panopto/Pages/Viewer.aspx?id=649853b9-0c90-4e6c-a087-5c8f4da1fa9d From Pure Mathematics to Gene Discovery: A Biostatistician's Journey (slides & audio)] - Michael Boehnke, PhD | ||
+ | |||
+ | === Day 6 June 20 === | ||
+ | * [https://drive.google.com/open?id=0B2ht_TCS6xC-YWNNSVJCUmtUMDQ Statistical Modeling using R (slides)] - Phil Boonstra, PhD | ||
+ | * [https://sph.hosted.panopto.com/Panopto/Pages/Viewer.aspx?id=a43dd502-ebe0-4f0e-829f-ce7bbe003283 Study Design and Inference (slides & audio)] - Roderick Little, PhD | ||
+ | |||
+ | === Day 7 June 21 === | ||
+ | * [https://sph.hosted.panopto.com/Panopto/Pages/Viewer.aspx?id=6eaf5ffb-7df8-4daf-b4ac-117e251e47ce Visualization using R (slides & audio)] - Phil Boonstra, PhD | ||
+ | * [https://drive.google.com/open?id=0B2ht_TCS6xC-QXJ0NDNrOWNramc Distributed Computing (slides)] - Harsha Madhyastha, PhD | ||
+ | |||
+ | === Day 8 June 22 === | ||
+ | * [https://drive.google.com/open?id=0B2ht_TCS6xC-dDFQaUVRQXRLcDA Fundamentals of Data Processing (slides)] - Jed Carlson, Biostatistics PhD student | ||
+ | |||
+ | === Day 9 June 23 === | ||
+ | * [https://sph.hosted.panopto.com/Panopto/Pages/Viewer.aspx?id=9b46b28b-f2ab-4f80-9f97-2935564fa81d Matrix Computation (audio)] - Jason Estes, Research Fellow in Biostatistics | ||
+ | |||
+ | === Day 10 June 24 === | ||
+ | * [https://drive.google.com/open?id=0B2ht_TCS6xC-ZUxZTDNQM0pMTG8 Career Journey and A Principal Approach to Dimensionality Reduction Part 1 (slides)] - Stephen Gliske, PhD | ||
+ | * [https://drive.google.com/open?id=0B2ht_TCS6xC-eHY1VlZpY2lDVm8 Career Journey and A Principal Approach to Dimensionality Reduction Part 2 (slides)] - Stephen Gliske, PhD | ||
+ | * [https://drive.google.com/open?id=0B2ht_TCS6xC-eW5CWU1oSzdoZms Career Journey and A Principal Approach to Dimensionality Reduction Part 3 (slides)] - Stephen Gliske, PhD | ||
+ | |||
+ | === Day 11 June 27 === | ||
+ | * [https://sph.hosted.panopto.com/Panopto/Pages/Viewer.aspx?id=ece7f762-1464-4e4d-8e50-6993e47ab8e5 Large Scale Optimization Part 1 (slides & audio)] - Tewari Ambuj, PhD | ||
+ | * [https://sph.hosted.panopto.com/Panopto/Pages/Viewer.aspx?id=ebc69ff7-50e4-42de-84a7-f71942b80672 link Causal Inference (audio)] - Lu Wang, PhD | ||
+ | * [https://drive.google.com/open?id=0B2ht_TCS6xC-dWJodW9EbnppWWc Likelihood Functions and Parameter Estimation (slides)] - Matthew Zawistowski, Research Specialist at the University of Michigan | ||
+ | |||
+ | === Day 12 June 28 === | ||
+ | * [https://sph.hosted.panopto.com/Panopto/Pages/Viewer.aspx?id=74a7cc61-105e-49c2-96c3-fb8f722d4df6 Large Scale Optimization Part 2 (slides & audio)] - Tewari Ambuj, PhD | ||
+ | * [https://sph.hosted.panopto.com/Panopto/Pages/Viewer.aspx?id=a2c39a2f-60ea-48b8-bf03-b113badccfd8 Sequential Decision Making (slides & audio)] - Tewari Ambuj, PhD | ||
+ | |||
+ | === Day 13 June 29 === | ||
+ | * [https://drive.google.com/open?id=0B2ht_TCS6xC-VzJpT3VDbER3ZVk R - dplyr (slides)] - Matthew Flickinger, Senior Analyst at the University of Michigan | ||
+ | * [https://drive.google.com/open?id=0B2ht_TCS6xC-a1dtOU5nR1ZVLVU R - Troubleshooting (slides)] - Matthew Flickinger, Senior Analyst at the University of Michigan | ||
+ | |||
+ | === Day 14 June 30 === | ||
+ | * [https://sph.hosted.panopto.com/Panopto/Pages/Viewer.aspx?id=fb005027-9add-4dce-8691-686a110bd0cb Clustering: Graphical Models and Sampling Algorithm Part 1 (slides & audio)] - Long Nguyen, PhD | ||
+ | * [https://sph.hosted.panopto.com/Panopto/Pages/Viewer.aspx?id=6ebca2f7-02af-4b35-a6c6-e5e693898fdb Clustering: Graphical Models and Sampling Algorithm Part 2 (slides & audio)] - Long Nguyen, PhD | ||
+ | |||
+ | === Day 15 July 1 === | ||
+ | * [https://sph.hosted.panopto.com/Panopto/Pages/Viewer.aspx?id=a3a3f2a9-ad14-4561-aaf6-f2ad50646b28 My SMART Journey (slides & audio)] - Kelley Kidwell, PhD | ||
+ | * [https://sph.hosted.panopto.com/Panopto/Pages/Viewer.aspx?id=f3924785-412f-4fa4-a763-9991cae5abf2 My Spatial Journey to UM Biostatistics (slides & audio)] - Veronica Berrocal, PhD | ||
+ | |||
+ | === Day 17 July 5 === | ||
+ | * [https://sph.hosted.panopto.com/Panopto/Pages/Viewer.aspx?id=63727adf-6c0d-41fa-aab6-649583ada3ca Supervised Machine Learning 1 (slides & audio)] - Hui Jiang, PhD | ||
+ | * [https://sph.hosted.panopto.com/Panopto/Pages/Viewer.aspx?id=2ef517f5-bcf4-4656-b437-b8bd277a1a52 Intro to Bayes (slides & audio)] - Bhramar Mukherjee, PhD | ||
+ | |||
+ | === Day 18 July 6 === | ||
+ | * [https://drive.google.com/open?id=0B2ht_TCS6xC-VU9uSTh1ZmRlUlE R Data Visualization (slides)] - Matthew Flickinger, Senior Analyst at the University of Michigan | ||
+ | |||
+ | === Day 19 July 7 === | ||
+ | * [https://sph.hosted.panopto.com/Panopto/Pages/Viewer.aspx?id=bce833e7-f85b-4093-930e-69d53d7a84aa Bayes Computation 1 (slides & audio)] - Tim Johnson, PhD | ||
+ | * [https://drive.google.com/open?id=0B2ht_TCS6xC-MlhhOHR4ZlpfT1U Unsupervised Machine Learning 1 (slides)] - Jenna Wiens, PhD | ||
+ | |||
+ | === Day 20 July 8 === | ||
+ | * [https://sph.hosted.panopto.com/Panopto/Pages/Viewer.aspx?id=5ebc1b87-64b4-48e3-9826-228fc595a254 Bayes Computation 2 (slides & audio)] - Tim Johnson, PhD | ||
+ | * [https://sph.hosted.panopto.com/Panopto/Pages/Viewer.aspx?id=91300088-48cf-4f29-9719-f9ff33c518ee The Moments and the Journey (slides & audio)] - Bhramar Mukherjee, PhD | ||
+ | |||
+ | === Day 21 July 11 === | ||
+ | * [https://drive.google.com/open?id=0B2ht_TCS6xC-WVpQWnZlWGI1azQ Visualization 1 (slides)] - Eytan Adar, PhD | ||
+ | * [https://sph.hosted.panopto.com/Panopto/Pages/Viewer.aspx?id=d11132e6-4990-459b-bd15-9bbd5773a06c Supervised Machine Learning 2 (slides & audio)] - Hui Jiang, PhD | ||
+ | |||
+ | === Day 22 July 12 === | ||
+ | * [https://drive.google.com/open?id=0B2ht_TCS6xC-Um0xeDJhUjBBLXM Visualization 2 (slides)] - Eytan Adar, PhD | ||
+ | * [https://sph.hosted.panopto.com/Panopto/Pages/Viewer.aspx?id=83c6bcb5-5912-443f-a813-ba3131db1ed5 Personalized Medicine (slides & audio)] - Lu Wang, PhD | ||
+ | |||
+ | === Day 23 July 13 === | ||
+ | * [https://drive.google.com/open?id=0B2ht_TCS6xC-TmE1eEh3dGZ1UG8 Reproducible Research (slides)] - Jed Carlson, Biostatistics PhD student | ||
+ | |||
+ | === Day 24 July 14 === | ||
+ | * [https://drive.google.com/open?id=0B2ht_TCS6xC-WkZpekZReDY5Mnc Social Netwrok Analysis (slides)] - Eytan Adar, PhD | ||
+ | * [https://drive.google.com/open?id=0B2ht_TCS6xC-SFhqcmJyUHBPaDg Unsupervised Machine Learning 2 (slides)] - Jenna Wiens, PhD | ||
+ | |||
+ | === Day 25 July 15 === | ||
+ | * [https://sph.hosted.panopto.com/Panopto/Pages/Viewer.aspx?id=d667c41f-bdc8-4643-9aaa-c2f6f4a9a5b1 My Journey to Bigger than Average Data (slides & audio)] - Joe Messana, MD | ||
+ | |||
+ | === Day 26 July 18 === | ||
+ | * [https://sph.hosted.panopto.com/Panopto/Pages/Viewer.aspx?id=5e64930a-2f7a-4f69-95b7-61afb986fd00 Supervised Machine Learning 3 (slides & audio)] - Hui Jiang, PhD | ||
+ | * [https://sph.hosted.panopto.com/Panopto/Pages/Viewer.aspx?id=ebd61dd6-1f44-4d48-b6f6-34e7c532c601 Population Genetics (slides & audio)] - Sebastian Zoellner, PhD | ||
+ | * [https://sph.hosted.panopto.com/Panopto/Pages/Viewer.aspx?id=a97b5884-2ffc-4c56-a979-7a27f4b0ce78 Adventures in Human Genetics (slides & audio)] - Goncalo Abecasis, PhD, Department of Biostatistics Chair at the University of Michigan | ||
+ | |||
+ | === Day 27 July 19 === | ||
+ | * [https://drive.google.com/open?id=0B2ht_TCS6xC-MHdqMGNJbGUzMWc Data Privacy and Security (slides)] - Jacob Abernethy, PhD | ||
+ | * [https://sph.hosted.panopto.com/Panopto/Pages/Viewer.aspx?id=17eac995-13a4-4ca5-9bab-aaaf1a3fd2b8 Learning Health Systems (slides & audio)] - Karandeep Singh, PhD | ||
+ | |||
+ | === Day 28 July 20 === | ||
+ | * [https://sph.hosted.panopto.com/Panopto/Pages/Viewer.aspx?id=9acb4056-07b8-4f59-89db-0a7d323439a1 Journey Lecture (slides & audio)] - Phil Boonstra, PhD | ||
+ | |||
+ | == Symposium == | ||
+ | * [https://drive.google.com/open?id=0B2ht_TCS6xC-enM2bF90VHNnMmc Symposium Welcome] - Bhramar Mukherjee, PhD | ||
+ | * [https://drive.google.com/open?id=0B2ht_TCS6xC-SXkydVBKMm56WHc Identifying and Correcting for Contamination in DNA Sequencing Studies] - Michael Boehnke, PhD | ||
+ | * [https://drive.google.com/open?id=0B2ht_TCS6xC-MWxjT0JoeXc1b2c Assessing Time-Varying Causal Effect Moderation using Intensively Collected Longitudinal Intervention Data] - Susan Murphy, PhD | ||
+ | * [https://drive.google.com/open?id=0B2ht_TCS6xC-bWkwWkhaZy1RaUk Statistical Methods for Personalized Medicine] - Jeremy Taylor, PhD | ||
+ | * [https://drive.google.com/open?id=0B2ht_TCS6xC-ek1DaVZtb0Vvcnc Software For (and With) Big Data] - Eytan Adar, PhD | ||
+ | * [https://drive.google.com/open?id=0B2ht_TCS6xC-WmN3R3M3QWtCd00 Using Doctors' Notes to Uncover Everyday Natural Experiments in Healthcare] - Karandeep Singh, MD | ||
+ | * [http://web.eecs.umich.edu/~jabernet/BDSI_2016/flint_water_talk.html#1 Data Science for the Flint Water Crisis] - Jacob Abernethy, PhD and Eric Schwartz. PhD | ||
+ | * [https://drive.google.com/open?id=0B2ht_TCS6xC-ZlVYd3NiYldiQ28 Doing Data Science] - Rachel Schutt, Chief Data Scientist at News Corp | ||
+ | |||
+ | '''Student Group Presentations''' | ||
+ | * [https://drive.google.com/open?id=0B2ht_TCS6xC-OVY5WlNhT2VnOTA Data Mining] | ||
+ | * [https://drive.google.com/open?id=0B2ht_TCS6xC-amN6NkMxNnFLNm8 Electronic Health Records (EHR)] | ||
+ | * [https://drive.google.com/open?id=0B2ht_TCS6xC-OEtIT1E2RHFFQlk Genomics] | ||
+ | * [https://drive.google.com/open?id=0B2ht_TCS6xC-TG9ZMzJFcngxWm8 Machine Learning] | ||
+ | |||
+ | '''Student Poster Presentations''' | ||
+ | * [https://drive.google.com/open?id=0B2ht_TCS6xC-RnVJTHRKWngyRkU Using Data Mining Techniques and Classification Algorithms to Predict Impact of Academic Papers] | ||
+ | * [https://drive.google.com/open?id=0B2ht_TCS6xC-WHc3SXZTdmhXMjA Clustering Gene Expression Profiles of Single Cells Using Expectation Maximization] | ||
+ | * [https://drive.google.com/open?id=0B2ht_TCS6xC-dmJwRUV0WGVLTDA Data Mining: Association Rules Using the Apriori Algorithm] | ||
+ | * [https://drive.google.com/open?id=0B2ht_TCS6xC-cW82UmNwQkk3MnM Exploring U.S. Population Stratification with Genes for Good Data] | ||
+ | * [https://drive.google.com/open?id=0B2ht_TCS6xC-UTdXSnNVMU4ySkk Network Structure in Offshore Leaks Data] | ||
+ | * [https://drive.google.com/open?id=0B2ht_TCS6xC-Z2JsZ3ZMNW53QUE A Genome-Wide Association Study for Mental Illness] | ||
+ | * [https://drive.google.com/open?id=0B2ht_TCS6xC-WmkyWXJSWUV1bjg Evaluation of the End Stage Renal Disease Quality Incentive Program] | ||
+ | * [https://drive.google.com/open?id=0B2ht_TCS6xC-VGJQcTQtNnZpSFU Genome-Wide Association Study of Alcohol Consumption and Stress Levels] | ||
+ | * [https://drive.google.com/open?id=0B2ht_TCS6xC-MjZENURlQzNuaEU Perservation of Semantic Parallels Through Word2Vec] | ||
+ | * [https://drive.google.com/open?id=0B2ht_TCS6xC-eWN1WTFmNWJPNFE Single Cell Diffenence in Gene Expression between Macular and Peripheral Human Retinal Cells] | ||
+ | * [https://drive.google.com/open?id=0B2ht_TCS6xC-U05xUkswNFM3Unc Twitter Sentiment Analysis & The Stock Market] | ||
+ | * [https://drive.google.com/open?id=0B2ht_TCS6xC-SUpnM2NpeDdyWlE Data Curation & Wrangling] | ||
+ | * [https://drive.google.com/open?id=0B2ht_TCS6xC-cHVxU0JCRWlDX0U Predicting CKD and Potential Risk Factors with Multiple Linear Regression] | ||
+ | * [https://drive.google.com/open?id=0B2ht_TCS6xC-MVFCSXZzYUJlMXM The ICIJ Panama Leak: Temporal & Spatial Visualizations of the World's Hidden Wealth] | ||
+ | * [https://drive.google.com/open?id=0B2ht_TCS6xC-eWkwMDdzM0h1MVU A Streamlined Approach for Comparing Two Genomic Catalogs] | ||
+ | * [https://drive.google.com/open?id=0B2ht_TCS6xC-MnZNVWJKLWt5QTQ From Interviews to Blood Tests: Using Statistical and Machine Learning Models to Predict Kidney Function] | ||
+ | * [https://drive.google.com/open?id=0B2ht_TCS6xC-QmdiYkJYamRwelk Flagging Facilities: An Empirical Null Method] | ||
+ | |||
+ | == Getting started == | ||
+ | * [//www.mediawiki.org/wiki/Special:MyLanguage/Manual:Configuration_settings Configuration settings list] | ||
+ | * [//www.mediawiki.org/wiki/Special:MyLanguage/Manual:FAQ MediaWiki FAQ] | ||
+ | * [https://lists.wikimedia.org/mailman/listinfo/mediawiki-announce MediaWiki release mailing list] | ||
+ | * [//www.mediawiki.org/wiki/Special:MyLanguage/Localisation#Translation_resources Localise MediaWiki for your language] |
Revision as of 07:30, 22 May 2025
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Welcome to the U-M Big Data 2016 Summer Program Wiki!
Consult the User's Guide for information on using the wiki software.
Contents
- 1 Reading Material
- 2 2016 Presentations
- 2.1 Day 1: June 13
- 2.2 Day 2: June 14
- 2.3 Day 3: June 15
- 2.4 Day 4: June 16
- 2.5 Day 5 June 17
- 2.6 Day 6 June 20
- 2.7 Day 7 June 21
- 2.8 Day 8 June 22
- 2.9 Day 9 June 23
- 2.10 Day 10 June 24
- 2.11 Day 11 June 27
- 2.12 Day 12 June 28
- 2.13 Day 13 June 29
- 2.14 Day 14 June 30
- 2.15 Day 15 July 1
- 2.16 Day 17 July 5
- 2.17 Day 18 July 6
- 2.18 Day 19 July 7
- 2.19 Day 20 July 8
- 2.20 Day 21 July 11
- 2.21 Day 22 July 12
- 2.22 Day 23 July 13
- 2.23 Day 24 July 14
- 2.24 Day 25 July 15
- 2.25 Day 26 July 18
- 2.26 Day 27 July 19
- 2.27 Day 28 July 20
- 3 Symposium
- 4 Getting started
Reading Material
Data Mining Group
- Automatic Construction and Natural-Language Description
- Interestingness Measures for Data Mining a Survey
- Fast Algorithms for Mining Association Rules
EHR Group
- Statistical Inference, Learning and Models in Big Data
- USRDS 2015 Annual Data Report, Volume 1: Chronic Kidney Disease
- Dialysis Facility Characteristics and Services
- Data Dictionary for Quarterly Dialysis Facility Compare
- USRDS Introduction to Volume 1: CKD in the United States
Genomics Group
- A Global Reference for Human Genetic Variation
- A Map of Human Genome Variation from Population-Scale Sequencing
2016 Presentations
Day 1: June 13
- Orientation 2016 (slides) - Bhramar Mukherjee, PhD
- Welcome Reception (slides) - Bhramar Mukherjee, PhD
- Computing Resources (slides)
- Ethics Review (slides)
- On Being A Scientist (slides)
- Life in Ann Arbor (slides) - Evan Reynolds, Biostatistics PhD Student
- Intro to Probabilities and Distributions (file) - Rebecca Rothwell, Biostatistics PhD student
Day 2: June 14
- Computing Platforms (website) - Jacob Abernethy, PhD
- Introductory Statistics (slides & audio) - Bhramar Mukherjee, PhD
Day 3: June 15
- Intro to Unix (slides) - Hyun Min Kang, PhD
Day 4: June 16
- Data Structure using Python (website) - Jacob Abernethy, PhD
- Observational Data, Bias and Confounding (slides & audio) - Roderick Little, PhD
Day 5 June 17
- Data Structure using Python (website) - Jacob Abernethy, PhD
- From Pure Mathematics to Gene Discovery: A Biostatistician's Journey (slides & audio) - Michael Boehnke, PhD
Day 6 June 20
- Statistical Modeling using R (slides) - Phil Boonstra, PhD
- Study Design and Inference (slides & audio) - Roderick Little, PhD
Day 7 June 21
- Visualization using R (slides & audio) - Phil Boonstra, PhD
- Distributed Computing (slides) - Harsha Madhyastha, PhD
Day 8 June 22
- Fundamentals of Data Processing (slides) - Jed Carlson, Biostatistics PhD student
Day 9 June 23
- Matrix Computation (audio) - Jason Estes, Research Fellow in Biostatistics
Day 10 June 24
- Career Journey and A Principal Approach to Dimensionality Reduction Part 1 (slides) - Stephen Gliske, PhD
- Career Journey and A Principal Approach to Dimensionality Reduction Part 2 (slides) - Stephen Gliske, PhD
- Career Journey and A Principal Approach to Dimensionality Reduction Part 3 (slides) - Stephen Gliske, PhD
Day 11 June 27
- Large Scale Optimization Part 1 (slides & audio) - Tewari Ambuj, PhD
- link Causal Inference (audio) - Lu Wang, PhD
- Likelihood Functions and Parameter Estimation (slides) - Matthew Zawistowski, Research Specialist at the University of Michigan
Day 12 June 28
- Large Scale Optimization Part 2 (slides & audio) - Tewari Ambuj, PhD
- Sequential Decision Making (slides & audio) - Tewari Ambuj, PhD
Day 13 June 29
- R - dplyr (slides) - Matthew Flickinger, Senior Analyst at the University of Michigan
- R - Troubleshooting (slides) - Matthew Flickinger, Senior Analyst at the University of Michigan
Day 14 June 30
- Clustering: Graphical Models and Sampling Algorithm Part 1 (slides & audio) - Long Nguyen, PhD
- Clustering: Graphical Models and Sampling Algorithm Part 2 (slides & audio) - Long Nguyen, PhD
Day 15 July 1
- My SMART Journey (slides & audio) - Kelley Kidwell, PhD
- My Spatial Journey to UM Biostatistics (slides & audio) - Veronica Berrocal, PhD
Day 17 July 5
- Supervised Machine Learning 1 (slides & audio) - Hui Jiang, PhD
- Intro to Bayes (slides & audio) - Bhramar Mukherjee, PhD
Day 18 July 6
- R Data Visualization (slides) - Matthew Flickinger, Senior Analyst at the University of Michigan
Day 19 July 7
- Bayes Computation 1 (slides & audio) - Tim Johnson, PhD
- Unsupervised Machine Learning 1 (slides) - Jenna Wiens, PhD
Day 20 July 8
- Bayes Computation 2 (slides & audio) - Tim Johnson, PhD
- The Moments and the Journey (slides & audio) - Bhramar Mukherjee, PhD
Day 21 July 11
- Visualization 1 (slides) - Eytan Adar, PhD
- Supervised Machine Learning 2 (slides & audio) - Hui Jiang, PhD
Day 22 July 12
- Visualization 2 (slides) - Eytan Adar, PhD
- Personalized Medicine (slides & audio) - Lu Wang, PhD
Day 23 July 13
- Reproducible Research (slides) - Jed Carlson, Biostatistics PhD student
Day 24 July 14
- Social Netwrok Analysis (slides) - Eytan Adar, PhD
- Unsupervised Machine Learning 2 (slides) - Jenna Wiens, PhD
Day 25 July 15
- My Journey to Bigger than Average Data (slides & audio) - Joe Messana, MD
Day 26 July 18
- Supervised Machine Learning 3 (slides & audio) - Hui Jiang, PhD
- Population Genetics (slides & audio) - Sebastian Zoellner, PhD
- Adventures in Human Genetics (slides & audio) - Goncalo Abecasis, PhD, Department of Biostatistics Chair at the University of Michigan
Day 27 July 19
- Data Privacy and Security (slides) - Jacob Abernethy, PhD
- Learning Health Systems (slides & audio) - Karandeep Singh, PhD
Day 28 July 20
- Journey Lecture (slides & audio) - Phil Boonstra, PhD
Symposium
- Symposium Welcome - Bhramar Mukherjee, PhD
- Identifying and Correcting for Contamination in DNA Sequencing Studies - Michael Boehnke, PhD
- Assessing Time-Varying Causal Effect Moderation using Intensively Collected Longitudinal Intervention Data - Susan Murphy, PhD
- Statistical Methods for Personalized Medicine - Jeremy Taylor, PhD
- Software For (and With) Big Data - Eytan Adar, PhD
- Using Doctors' Notes to Uncover Everyday Natural Experiments in Healthcare - Karandeep Singh, MD
- Data Science for the Flint Water Crisis - Jacob Abernethy, PhD and Eric Schwartz. PhD
- Doing Data Science - Rachel Schutt, Chief Data Scientist at News Corp
Student Group Presentations
Student Poster Presentations
- Using Data Mining Techniques and Classification Algorithms to Predict Impact of Academic Papers
- Clustering Gene Expression Profiles of Single Cells Using Expectation Maximization
- Data Mining: Association Rules Using the Apriori Algorithm
- Exploring U.S. Population Stratification with Genes for Good Data
- Network Structure in Offshore Leaks Data
- A Genome-Wide Association Study for Mental Illness
- Evaluation of the End Stage Renal Disease Quality Incentive Program
- Genome-Wide Association Study of Alcohol Consumption and Stress Levels
- Perservation of Semantic Parallels Through Word2Vec
- Single Cell Diffenence in Gene Expression between Macular and Peripheral Human Retinal Cells
- Twitter Sentiment Analysis & The Stock Market
- Data Curation & Wrangling
- Predicting CKD and Potential Risk Factors with Multiple Linear Regression
- The ICIJ Panama Leak: Temporal & Spatial Visualizations of the World's Hidden Wealth
- A Streamlined Approach for Comparing Two Genomic Catalogs
- From Interviews to Blood Tests: Using Statistical and Machine Learning Models to Predict Kidney Function
- Flagging Facilities: An Empirical Null Method