Statistics in Genomic Research

Recurring prediction/estimation statistics:

External Links:

• • Matthew Stephens' guide to succinct explanations of many relevant statistics concepts

• Basic online statistics textbook with online calculators

  • John McDonald's handbook for biological statistics

  • Ewan Birney's list of "Five statistical things I wished I had been taught 20 years ago"

• Learn all about t-SNE

  • Download a FREE copy of Introduction to Statistical Learning here

  • Listen Data's useful guide to the most common 15 types of regression

  • Nature Biotechnology Primers, of specific interest:

    • Analyzing 'omics data using hierarchical models

    • How does multiple testing correction work?

    • How to map billions of short reads onto genomes

    • SNP imputation in association studies

    • Understanding genome browsing

    • What are decision trees?

    • What is the expectation maximization algorithm?

    • What is principal components analysis?

    • How does eukaryotic gene prediction work?

    • What is a support vector machine?

    • What are DNA sequence motifs?

    • How does DNA sequence motif discovery work?

    • How does gene expression clustering work?

    • How do RNA folding algorithms work?

    • What is a hidden Markov model?

    • What is Bayesian statistics?

    • What is dynamic programming?