Statistical Methods for Whole Genome Analyses
Switch branches/tags
Nothing to show
Clone or download
Fetching latest commit…
Cannot retrieve the latest commit at this time.
Permalink
Failed to load latest commit information.
.ipynb_checkpoints
Bayes
basic
images
singleStep
solutions
.DS_Store
Index.ipynb
QTL.jpg
README.md

README.md

##Statistical Methods for Whole Genome Analyses

This interactive book is written entirely using Jupyter notebook.

Why Jupyter notebook?

Juliabox can be used to interact with this book.

####About ANS656

###Content

  • Section 1:  Basic

    • 1.1   Map Funtions
    • 1.2   Computation of Recombination Probabilities
    • 1.3   Linkage Disequilibrium
  • Section 2:  Bayesian Methods

    • 2.1   Bayesian Theorem
    • 2.2   Bayesian Inference
    • 2.3   Markov Chain Monte-Carlo Methods
    • 2.4   Bayesian Inference by Application to Simple Linear Regression
    • 2.5   Extension to Multiple Linear Regression
    • 2.6   Bayesian Regression Models for Whole-Genome Analyses
  • Section 3:  Single Step

    • 3.1   Single-Step GBLUP
    • 3.2   Single-Step Bayesian Regression
  • Section 4:  Solutions