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Welcome to the U-M Big Data Summer Institute 2021 Wiki!

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
• Linear Regression
• Probability

Past BDSI Student Poster Presentations

2019 Student Poster Presentations

• Data Mining Presentation
• Machine Learning Presentation
• Genomics Presentation

2018 Student Poster Presentations

• Imaging Group Presentation
• Machine Learning Group Presentation
• Genetics Group Presentation
• Data Mining Presentation

2017 Student Poster Presentations

• Data Mining/ Machine Learning
• Electronic Health Records (EHR)
• Genomics
• Imaging

2017 Symposium Reference Files

• 2017 Symposium Program
• 2017 Symposium Flyer

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