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=== Week 1 === | === Week 1 === | ||
*Study Design and Inference, Observational Data and Bias, Parameter Estimation and Likelihood - Dr. Rod Little | *Study Design and Inference, Observational Data and Bias, Parameter Estimation and Likelihood - Dr. Rod Little | ||
| − | + | -[https://sph.hosted.panopto.com/Panopto/Pages/Viewer.aspx?id=efafd309-2cb9-48fc-a99e-ad3b010b9c89 Part 1] | |
| − | + | -[https://sph.hosted.panopto.com/Panopto/Pages/Viewer.aspx?id=a8ee18d3-99ba-4770-9b9e-ad3c00cc4c87 Part 2] | |
| − | + | -[https://sph.hosted.panopto.com/Panopto/Pages/Viewer.aspx?id=50d382d1-6aff-4319-93b2-ad3d00de0738 Part 3] | |
| − | + | -[https://sph.hosted.panopto.com/Panopto/Pages/Viewer.aspx?id=dc895c8d-95b4-4b81-abfb-ad3d010d689a Part 4] | |
| − | + | -[https://sph.hosted.panopto.com/Panopto/Pages/Viewer.aspx?id=a2424e3d-04c4-416c-be36-ad3c0135711b Part 5] | |
| − | *Linear Algebra | + | *Linear Algebra - Lap Sum Chan |
| − | *Linear Regression | + | *Linear Regression - Fatema Shafie Khorassani |
| − | *Probability | + | *Probability - Rupam Bhattacharyya |
| + | *Data Wrangling in R with dplyr - Dr. Matthew Flickinger | ||
| + | *Data Visualization in R with ggplot2 - Dr. Matthew Flickinger | ||
=== Week 2 === | === Week 2 === | ||
Revision as of 19:59, 6 June 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 2 -Part 3 -Part 4 -Part 5
- Linear Algebra - Lap Sum Chan
- Linear Regression - Fatema Shafie Khorassani
- Probability - Rupam Bhattacharyya
- Data Wrangling in R with dplyr - Dr. Matthew Flickinger
- Data Visualization in R with ggplot2 - Dr. Matthew Flickinger
Week 2
Week 3
Week 4
Week 5
Week 6
Week 7
Week 8
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
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
- Daily Schedule
- Social Events Schedule TBD
