High-dimensional-data-analysis

HarvardX PH525.4x course

Week 1

• How to compute the distance between two samples or features

Week 2

• Singular Value Decomposition (SVD)
• Multi-Dimensional Scaling Plots (MDS)

Week 3

• Dendrogram
• Hierarchical Clustering
• K-means clustering
• Heat Maps
• Conditional Expectations
• Smoothing
• Machine Learning
• kNN
• Cross Validation

Week 4

• Confounding in Genomics
• MDS plot
• Boxplot of PCs
• Batch Effects
• Factor Analysis
• Surrogate Variable Analysis (SVA)