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Stats366 / Stats 166 Course Notes
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Microarrays¶

Animation of a typical experiment¶

http://www.bio.davidson.edu/courses/genomics/chip/chip.html

You tube video, microarrays for comparing infected and uninfected plants: http://www.youtube.com/watch?v=VNsThMNjKhM

Resources (lectures and labs):¶

Introduction to Microarrays using BioC:

Keith Baggerly and Kevin Coombes

Baggerly and Broom, Data structures and BioC

Hao Wu slides from course:

Normalization Slides by Brandon Higgs:

VSN Normalization, motivation

Quality control and design, with details about vsn

Thomas Girke

Comparison of Methods (Baggerly and Coombes):

Example of a Lab Analysing Estrogen Data

Example of a Lab covering RMA gcRMA by James Wettenhall:

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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