Skip to content

cclab-brca/neoadjuvant-therapy-response-predictor

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

9 Commits
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

This github repository contains the data files and analysis code used in "Multi-omic machine learning predictor of breast cancer therapy response" published in Nature:

Link: https://www.nature.com/articles/s41586-021-04278-5

The files are organised into three folders:

  • data: which contains all the genomic and transcriptomic data required to perform the analyses described in the paper
  • R: contains the R code to reproduce all analyses
  • resources: contains additional databases (eg gene lists) which are required by the R scripts.

The predictor machine learning code is currently hosted at: https://github.com/micrisor/NAT-ML

The digitised H&E images are currently hosted at: https://zenodo.org/record/6337925#.Y30d1y-l1Ls

About

No description, website, or topics provided.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages