/MAPS-iTSA

Matrix-Augmented Pooling Strategy for High-Throughput Target Deconvolution Reveals Cell Type Off-targets and Responses

Primary LanguageJupyter NotebookOtherNOASSERTION

MAPS-iTSA

This repository contains processing scripts of the manuscript, entitled "Matrix-Augmented Pooling Strategy for High-Throughput Target Deconvolution Reveals Cell Type Off-targets and Responses" (In revision).

Install

  • Install Anaconda Python

  • Run following command in Anaconda Prompt for the dependencies.

pip install scikit-opt
pip install adjustText
conda install -c conda-forge rdkit

Examples and documents

  • Examples: run the unittests in notebook folder.
  • Documents: usages of major functions are provoided as their docstrings

Contact

For any questions, please contact:
ji.hongchao@foxmail.com
chris.tan.sh@gmail.com

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