Skip to content

pmckenz1/simcat

 
 

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

simcat

Python package for applying machine learning to infer ancient introgression on a species tree. Given an input species tree, simcat automates the simulation of a SNP data training database and simplifies the process of training a neural network on that data and applying it to empirical SNP data.

To install:

  1. Clone this repo: git clone https://github.com/pmckenz1/simcat.git
  2. Move into the directory: cd simcat
  3. Install with pip: pip install .

See simcat_demo.ipynb in the "notebooks" folder for a walkthrough.

In development. Please email pmckenzie@fas.harvard.edu with any questions / feature requests.

https://raw.githubusercontent.com/pmckenz1/simcat/master/source/docs/figure2.png

(from McKenzie & Eaton in prep)

About

invariants and machine learning

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages

  • Jupyter Notebook 99.6%
  • Other 0.4%