Cancer Omics and Drug Experiment Response Data (`coderdata`) Python Package

Usage

Datasets

Broad Sanger CPTAC HCMI BeatAML MPNST

Resources

GitHub FigShare PyPI Contribution Guide Deep Learning Tutorial Drug Response Tutorial Data Exploration Tutorial

Contribute

Introduction

CoderData is a cancer benchmark data package developed in Python and R. There are two aspects of this package, the backend build section and the user facing python package. The build section is a github workflow that generates four cancer datasets in a format that is easy for users and algorithms to ingest. The python package allows users to easily download the data, load it into python and reformat it as desired.

Broad Sanger Summary

The Broad Sanger datasets were collected from numerous resources such as the LINCS project, DepMap, and the Sanger Institute. This data will allow scientists to explore the drugs response for thousands of drugs across hundreds of cell lines.

Visualization