Skip to content

FiTree: Bayesian inference of fitness landscapes via tree-structured branching processes

License

Notifications You must be signed in to change notification settings

cbg-ethz/FiTree

Repository files navigation

PyPI Build Status Code style: Black Repo Status

FiTree

FiTree is a Python package for Bayesian inference of fitness landscapes via tree-structured branching processes.

Installation

pip install fitree

Getting started

FiTree takes tumor mutation trees as input and learns a matrix representing the fitness effects of individual mutations as well as their pairwise interactions. We provide small examples on how to use FiTree:

  1. Pre-processing of tree input

  2. Tree generation and inference

For large-scale simulation studies and real data application, we recommend looking into the snakemake workflows.

Preprint

The preprint of the paper is provided here.

About

FiTree: Bayesian inference of fitness landscapes via tree-structured branching processes

Resources

License

Stars

Watchers

Forks

Languages