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Statistical Bioinformatics GroupUniversity of Virginia, Charlottesville,
VA
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Statistical Bioinformatics in Medicine (PHS795, Fall 2007)'07 Course syllabusProject guideline and references Lecture Notes (L: regular, S: special topic lectures): L1. Introduction L2. Basic conceps in statistics L3. Quality control and statistical assement on large screening data L4. False discovery rate (FDR) & Statistical tests for genomic data L5. Unsupervised learning (hierarchical, SOM, K-means clustering) L6. Principal component analysis L7. Supervised learning (LDA, QDA, LR, SVMs) L8. Statistical resampling L9. Boolean and Bayesian belief networks L10. Markov chain Monte Carlo and WinBUGS L11. Neural network analysis S1. Human genome project and RNA expression microarray technology S2. Introduction to Healthcare Informatics (Invited lecture by Dr. James Harrison) S3. R Basics Presentation (Guest lecture by Dr. Paul Williams) |
