Main Page
Revision as of 12:59, 6 June 2021 by Jenna Bedrava (talk | contribs)
Welcome to the U-M Big Data Summer Institute 2021 Wiki!
Reading Material
Electronic Health Records Group
Machine Learning Group
Imaging
Data Mining
Papers
Lectures
Week 1
- Cluster computing - Dan Barker
- RCRS Training - Mukherjee
Week 2
Week 3
Week 4
Week 5
Week 6
Week 7
Week 8
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 - Last update June 4, 2019
- Social events Schedule - Last update June 6, 2019
