Stats366 / Stats 166 Course Notes
index
Index
Table Of Contents
Crash Course in Genomics
Seeing the structure and the surprises
Sequence Data are Strings
Markov Chains
Hidden Markov Models - the Unfair Casino
Hidden Markov Model for CpG islands
Underlying Algorithms
PCA : Interpretation Examples
PCA, SVD and MDS
Binary Table/Contingency Table representation
Binary Data and Graphs
Modelling Mixtures: the Dirichlet distribution
Gibbs Sampler Examples
Microarrays
HW1 Stats 366 - Stats 166
Lab1 Reading and Manipulating genomes in R
Lab2/Hw 2 Hidden Markov Models
Lab3/Hw 3 Visualization and PCA
Lab4 Networks
Lab 5: Phylogenetic Trees and the Bootstrap
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