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-[https://sph.hosted.panopto.com/Panopto/Pages/Viewer.aspx?id=ddb75538-d5ab-416e-927a-ad4e00d1dcfd Recording] | -[https://sph.hosted.panopto.com/Panopto/Pages/Viewer.aspx?id=ddb75538-d5ab-416e-927a-ad4e00d1dcfd Recording] | ||
*Causal Inference - Dr. Walter Dempsey | *Causal Inference - Dr. Walter Dempsey | ||
| − | |||
| − | |||
*Model Selection - Nicky Wakim | *Model Selection - Nicky Wakim | ||
-[https://umich.zoom.us/rec/share/kMgiz3jT24I-KEKC0PqpgTojLOvbwxY0v9NjEy1DYFpzVoSy8hXGoz5v3cmFFlMs._v8fupSuq--thOrl?startTime=1624281763000 Recording] | -[https://umich.zoom.us/rec/share/kMgiz3jT24I-KEKC0PqpgTojLOvbwxY0v9NjEy1DYFpzVoSy8hXGoz5v3cmFFlMs._v8fupSuq--thOrl?startTime=1624281763000 Recording] | ||
| Line 76: | Line 74: | ||
=== Week 5 === | === Week 5 === | ||
*Social Networks - Dr. Eytan Adar | *Social Networks - Dr. Eytan Adar | ||
| + | -[https://umich.zoom.us/rec/share/a2PSTow8CBMT-jCd1uAjOR3vpwjzdxFVGjGJmow4-sSTXakliNXd8bq27AHaSGVM.AwOrudFoHjara4tL Recording] | ||
| + | -[https://drive.google.com/file/d/113tq2q9EH9tBiuZHeLk1oOZ6bPXWrav0/view?usp=sharing Social Network Slides] | ||
*Electronic Health Records - Dr. Xu Shi | *Electronic Health Records - Dr. Xu Shi | ||
*Genetics/Genomics - Dr. Jean Morrison | *Genetics/Genomics - Dr. Jean Morrison | ||
| − | + | -[https://umich.zoom.us/rec/share/s6D-ASKgu26M1CHQcH4nD2l7lT0s2gZA4Zcb3AbqSltU1QdljnDBtjSPXhVm3pr6.pJgGOtX5zWKS1Q0Y Recording] | |
| + | -[https://drive.google.com/file/d/1S_oPDj0TAORm0hvErcyFecPwSwaR-F_9/view?usp=sharing Genetics/Genomics Slides] | ||
*Precision Health - Dr. Sachin Kheterpal | *Precision Health - Dr. Sachin Kheterpal | ||
| + | -[https://umich.zoom.us/rec/share/mRz6marib-d6fhJKNwPGmzvht8c2vJuAMN3taH5ttN_nQXqEybFRto657sSbrGgt.6i7Yhm8e_5S82IRU Recording] | ||
=== Week 6 === | === Week 6 === | ||
*Data Integration and Precision Medicine - Dr. Veera Baladandayuthapani | *Data Integration and Precision Medicine - Dr. Veera Baladandayuthapani | ||
| + | -[https://umich.zoom.us/rec/share/kAaCkeWE-AcmqQ3A8wSEYmTLh16Ac5n5EZ84g_LJCq8FxFMrqdkP3MFUm8zNbmzI.xu70bqdFerecQ8wF Recording] | ||
| + | -[https://umich.zoom.us/rec/share/LmCFefGUAulqT50i0hoVO74Btjqp6e5ypUTm-spUY5MGqDJjD7vaaZCkapVwCCF8.iA2SDdyVancAGK-I Bayesian Precision Medicine Slides] | ||
| + | *Health Disparities in Strokes - Dr. Lynda Lisabeth | ||
| + | -[https://umich.zoom.us/rec/share/RQ9vlCzxoWEE6hpvLPz-vanDd0gO6ujGyzM7_aDDUO6dcP_pZOi6B1ARfXBiVlHj.GmmaIIbUAmu8--MG Recording] | ||
| + | -[https://drive.google.com/file/d/1XbynY5LgEvVXZxuhOr-XHg-czxCbTvA6/view?usp=sharing Stroke Disparities Slides] | ||
*Radiation Oncology - Dr. Arvind Rao | *Radiation Oncology - Dr. Arvind Rao | ||
| + | -[https://umich.zoom.us/rec/share/Wwjj54gusawthzmdsDGSh2PQePUjiEpbxj0vE70BB3s23ctn_aJMXKiFUB6gO-tC.VC9J-kyESKs2iqv7 Recording] | ||
| + | -[https://drive.google.com/file/d/1Qkdy9lAsL6ckm1ozfKLozuGUdvYnmXcT/view?usp=sharing Radiation Oncology Slides] | ||
*Better, Not Just Bigger Data Analytics - Dr. Brahmajee Nallamothu | *Better, Not Just Bigger Data Analytics - Dr. Brahmajee Nallamothu | ||
| − | * | + | *Scientific Writing - Dr. Brett Griffiths |
| + | *Pick Me! - Dr. Brett Griffiths | ||
=== Week 7 === | === Week 7 === | ||
| + | *Clinical Trials - Dr. Kelley Kidwell | ||
| + | -[https://umich.zoom.us/rec/share/GncgIvaaxWDEawBcYej-WYujm4jvNuuOANEiAyHxcMsl9n972qfCxZiaoYIwzdj1.oR855M-YO3bTFmYC Recording] | ||
| + | -[https://drive.google.com/file/d/10srF-xs2i8hMzEaZ2ypobtNinBuFqGtc/view?usp=sharing Clinical Trials Slides] | ||
| + | *Microaggressions Workshop - Dr. Yatesha Robinson | ||
| + | -[https://umich.zoom.us/rec/share/WlLorXoVboO17DIS8XULt6NuNDMWoMwQJJ1PsvslE-esY3_0OfsgSZrSr-r9xEQo.8Yjj8C5xKE8OYvtY Recording] | ||
| + | -[https://drive.google.com/file/d/1ZmqU4Nmyb1xWA6q9KzkXRaOANlWCZdzt/view?usp=sharing Microaggressions Slides] | ||
*Preparing for Graduate School - Dr. Kelley Kidwell | *Preparing for Graduate School - Dr. Kelley Kidwell | ||
| + | -[https://umich.zoom.us/rec/share/lk9I9X8CG_XuaLADcKHoNwI6XJb7Iwc52RYEdF45tuyN4UzG7c124bRbsPCdED4D.n8vOye3bFJ2rtSth Recording] | ||
| + | -[https://drive.google.com/file/d/1YAMvCna7XQJ4gtEGbGz_CzvwPZEgU84E/view?usp=sharing Preparing for Graduate School Slides] | ||
*CVs and Resumes - Krystle Forbes | *CVs and Resumes - Krystle Forbes | ||
| − | + | -[https://umich.zoom.us/rec/share/VxOTekAs_-lHEqmmBcXfKHnffXtJmEkaeBxCuHMyvdmgYD_23fBfvRxM6SLx1ps.JJ9-oTpocEGCk5GV Recording] | |
| − | + | -[https://drive.google.com/file/d/1CvDy3bf9gNXQyshbe4dpuBDS_3Uxu0Uy/view?usp=sharing CVs and Resumes Slides] | |
| − | === | + | === Symposium === |
| + | '''2021 Student Poster Presentations''' | ||
| + | *[https://drive.google.com/file/d/13jnaIPDLKqA2U8pyHcZv05Z78N-vlXQb/view?usp=sharing Data Mining] | ||
| + | *[https://drive.google.com/file/d/1BnJBplTRmJ0A2dsrVx6d6hmi25-sIldG/view?usp=sharing Machine Learning] | ||
| + | *[https://drive.google.com/file/d/1WERrG7d9MmVRMGifXZLbVkpQXFAFkhPV/view?usp=sharing Imaging] | ||
| + | *[https://drive.google.com/file/d/1SUnjN-02JcpnJ-nU2g8OGcT5Wl81qece/view?usp=sharing Electronic Health Records] | ||
== Journey Lectures == | == Journey Lectures == | ||
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*[https://umich.zoom.us/rec/share/r4GP37tr_DXFDoFBAl5fkw2gXJ3OZF1XEEReaDaVrgpgfm_3GljrWQJGyZ1obakM.Y7muB54ZivLZ3ZgG?startTime=1624032141000 Week 2: Dr. Mousumi Banerjee] | *[https://umich.zoom.us/rec/share/r4GP37tr_DXFDoFBAl5fkw2gXJ3OZF1XEEReaDaVrgpgfm_3GljrWQJGyZ1obakM.Y7muB54ZivLZ3ZgG?startTime=1624032141000 Week 2: Dr. Mousumi Banerjee] | ||
*Week 3: Dr. Lauren Beesley VanDervort | *Week 3: Dr. Lauren Beesley VanDervort | ||
| − | *Week 4: Dr. Rod Little | + | *[https://umich.zoom.us/rec/share/7sqWhjA4Rxi4QgztmgCINv6PFWdo89PHpZPqUjD8shDi9CT1FljLebTIXuExWEgv.SwGBiVbWcb_EU7fJ Week 4: Dr. Rod Little] |
| + | *Week 5: Dr. Sharon Kardia | ||
| + | *Week 6: Dr. Dubois Bowman | ||
| + | *[https://umich.zoom.us/rec/share/t-VrNSdpNAXHPEnspphj44Mk2ATT6P3SXGJcfKlQmabjjMLDcI-9Zry9_XI-hYcG.iUYlDFQe4qS9SpTj Week 7: Dr. Jeremy Taylor] | ||
| + | *Week 8: Dr. Bhramar Mukherjee | ||
== Past BDSI Student Poster Presentations == | == Past BDSI Student Poster Presentations == | ||
| Line 117: | Line 144: | ||
*[https://drive.google.com/file/d/0B2ht_TCS6xC-NEZ1YnQyVW0tREE/view?usp=sharing Genomics] | *[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] | *[https://drive.google.com/file/d/0B2ht_TCS6xC-cDVJNUtIcjRjcFE/view?usp=sharing Imaging] | ||
| − | ======2017 Symposium Group Posters | + | '''2019 Symposium Group Posters''' |
| + | *[https://drive.google.com/file/d/1IoB_Hn2xqw9JvCdYgzvN2EGZJwGVai-e/view?usp=sharing Evaluating the Uncertainty of Anti-Cancer Drug Classification Models] | ||
| + | *[https://drive.google.com/file/d/1nh_hxbgBKvwq79J3c4l64EM8ucyK_uGC/view?usp=sharing Polygenic Risk for Hypertension through the Lens of Population Genetics] | ||
| + | *[https://drive.google.com/file/d/1IPG_nfRA-OrgknOKuXSxsvBR3-lh1ToB/view?usp=sharing Quantitative Analysis of Polygenic Risk Score Prediction in the Genes for Good Cohort] | ||
| + | *[https://drive.google.com/file/d/10ozF7VvYQVFw5Kxvc3zkYv4cYHPNIbXD/view?usp=sharing Exploring the Robustness of Deep Learning Architectures] | ||
| + | *[https://drive.google.com/file/d/1LdjST9qDxHxPMDCaPZaSNTcrGcvomSPC/view?usp=sharing Survival Analysis of Glioblastoma Patients Through Tumor Tissue Deconvolution] | ||
| + | *[https://drive.google.com/file/d/1YN2sXv-FRjPMQDHizzVI5l9-Rpzrf44t/view?usp=sharing Examining the Effects of Cancer Cell Line Genetics on Drug Efficacy] | ||
| + | *[https://drive.google.com/file/d/1djaXxuwqzPrxhMJMF0rVOAb9y4GsW77i/view?usp=sharing Predicting Efficacy of Chemotherapies for Diverse Primary Tumors Using Cell Line Genetics and Tissue Type] | ||
| + | '''2017 Symposium Group Posters''' | ||
*[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-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-UEIwRVNZaVJXRFk/view?usp=sharing Melanoma Detection by Classifying Skin Lesion Images] | ||
| Line 131: | Line 166: | ||
== Additional Resources == | == Additional Resources == | ||
| − | *[https:// | + | *[https://umich.box.com/s/brc7jul1n4rxayw28e8vf9fq7qhz7ln2 Master Schedule] |
*[https://docs.google.com/document/d/1EQUaW0zLTSxaHQM82u9NO5dNeE5Rp_Vdr02uQTXxy3c/edit?usp=sharing Social Events Schedule] | *[https://docs.google.com/document/d/1EQUaW0zLTSxaHQM82u9NO5dNeE5Rp_Vdr02uQTXxy3c/edit?usp=sharing Social Events Schedule] | ||
Latest revision as of 11:44, 30 July 2021
Welcome to the U-M Big Data Summer Institute 2021 Wiki!
Contents
Electronic Health Records Group
Machine Learning Group
Imaging Group
Data Mining Group
Lectures
Week 1
- Study Design and Inference, Observational Data and Bias, Parameter Estimation and Likelihood - Dr. Rod Little
-Part 1, Part 1 Slides -Part 2, Part 2 Slides -Part 3, Part 3 Slides -Part 4, Part 4 Slides -Part 5, Part 5 Slides
- Linear Algebra - Lap Sum Chan
-Recording -Linear Algebra Slides
- Linear Regression - Fatema Shafie Khorassani
-Recording -Linear Regression Slides
- Probability - Rupam Bhattacharyya
-Recording -Probability Slides
- Data Wrangling in R with dplyr - Dr. Matthew Flickinger
-Lecture Slides
- Data Visualization in R with ggplot2 - Dr. Matthew Flickinger
-Lecture Slides
Week 2
- Machine Learning - Dr. Jenna Wiens
- Data Mining - Jiong Zhu
- Logistic Regression - Aubrey Annis
-Recording -Logistic Regression Slides
- Generalized Linear Models - Aubrey Annis
-Recording -GLM Slides
- R Markdown - Dr. Phil Boonstra
-Synchronous Lecture Recording -R Markdown Slides
- Python - Dr. Fred Feng
-Synchronous Lecture Part I and II Recording -Synchronous Lecture Part III and IV Recording
Week 3
- Assessment of Predictive Models - Dr. Phil Boonstra
-Recording
- Causal Inference - Dr. Walter Dempsey
- Model Selection - Nicky Wakim
-Recording -AUC/ROC Recording -Model Selection Slides -Annotated Model Selection Slides
- Data Visualization Workshop
-Synchronous Lecture Recording -Data Visualization Slides
Week 4
- Introduction to Bayes - Dr. Xiaoquan William Wen
-Intro to Bayes I Recording -Intro to Bayes II Recording -Intro to Bayes I Slides -Intro to Bayes II Slides
- Missing Data - Dr. Peisong Han
- Clustering - Fahad Kamran
-Clustering I Recording -Clustering II Recording -Clustering I Slides -Clustering II Slides
Week 5
- Social Networks - Dr. Eytan Adar
-Recording -Social Network Slides
- Electronic Health Records - Dr. Xu Shi
- Genetics/Genomics - Dr. Jean Morrison
-Recording -Genetics/Genomics Slides
- Precision Health - Dr. Sachin Kheterpal
-Recording
Week 6
- Data Integration and Precision Medicine - Dr. Veera Baladandayuthapani
-Recording -Bayesian Precision Medicine Slides
- Health Disparities in Strokes - Dr. Lynda Lisabeth
-Recording -Stroke Disparities Slides
- Radiation Oncology - Dr. Arvind Rao
-Recording -Radiation Oncology Slides
- Better, Not Just Bigger Data Analytics - Dr. Brahmajee Nallamothu
- Scientific Writing - Dr. Brett Griffiths
- Pick Me! - Dr. Brett Griffiths
Week 7
- Clinical Trials - Dr. Kelley Kidwell
-Recording -Clinical Trials Slides
- Microaggressions Workshop - Dr. Yatesha Robinson
-Recording -Microaggressions Slides
- Preparing for Graduate School - Dr. Kelley Kidwell
-Recording -Preparing for Graduate School Slides
- CVs and Resumes - Krystle Forbes
-Recording -CVs and Resumes Slides
Symposium
2021 Student Poster Presentations
Journey Lectures
- Week 1: Dr. Michael Boehnke
- Week 2: Dr. Mousumi Banerjee
- Week 3: Dr. Lauren Beesley VanDervort
- Week 4: Dr. Rod Little
- Week 5: Dr. Sharon Kardia
- Week 6: Dr. Dubois Bowman
- Week 7: Dr. Jeremy Taylor
- Week 8: Dr. Bhramar Mukherjee
Past BDSI Student Poster Presentations
2019 Student Poster Presentations
2018 Student Poster Presentations
- Imaging Group Presentation
- Machine Learning Group Presentation
- Genetics Group Presentation
- Data Mining Presentation
2017 Student Poster Presentations
2019 Symposium Group Posters
- Evaluating the Uncertainty of Anti-Cancer Drug Classification Models
- Polygenic Risk for Hypertension through the Lens of Population Genetics
- Quantitative Analysis of Polygenic Risk Score Prediction in the Genes for Good Cohort
- Exploring the Robustness of Deep Learning Architectures
- Survival Analysis of Glioblastoma Patients Through Tumor Tissue Deconvolution
- Examining the Effects of Cancer Cell Line Genetics on Drug Efficacy
- Predicting Efficacy of Chemotherapies for Diverse Primary Tumors Using Cell Line Genetics and Tissue Type
2017 Symposium Group Posters
- 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
