Difference between revisions of "Main Page"
From U-M Big Data Summer Institute Wiki
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*[https://drive.google.com/file/d/1FBj8Uet0cJ02aMP6MHWvFeOuA2bkim4j/view?usp=sharing Matrix Computations] - Peisong Han | *[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/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===== | =====Recorded Lectures===== | ||
*[https://sph.hosted.panopto.com/Panopto/Pages/Viewer.aspx?id=61694d5a-30a4-41d3-81bc-a90a00d60405 Matrix Computations] - Han | *[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 | ||
==== 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 ==== | ||
Revision as of 10:48, 28 June 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
Machine Learning Group
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
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
Day 10: June 29
Week 3
Day 11: July 2
Day 12: July 3
Day 13: July 4 (NO CLASS)
Day 14: July 5
Day 15: July 6
Week 4
Day 16: July 9
Day 17: July 10
Day 18: July 11
Day 19: July 12
Day 20: July 13
Week 5
Day 21: July 16
Day 22: July 17
Day 23: July 18
Day 24: July 19
Day 25: July 20
Week 6
Day 26: July 23
Day 27: July 24
Day 28: July 25
Day 29: Symposium
Student Poster Presentations
