drug-response
There are 10 repositories under drug-response topic.
ZJUFanLab/scRank
A computational method to rank and infer drug-responsive cell population towards in-silico drug perturbation using a target-perturbed gene regulatory network (tpGRN) for single-cell transcriptomic data
PNNL-CompBio/coderdata
Automation scripts and benchmark dataset package for cancer drug prediction deep learning models.
meyer-lab/tHMM
A general Python framework for using hidden Markov models on binary trees or cell lineage trees.
NKI-CCB/sobolev_alignment
Sobolev alignment of deep probabilistic models for comparing single cell profiles
mcmzxx/mfMap.py
This repository contains code for MFmap (model fidelity map), a semi-supervised generative model integrating gene expression, copy number and mutation data, matching cell lines to cancer subtypes. MFmap compresses high dimensional omics data of cell lines and bulk tumours into subtype informative low dimensional latent representations and predicts the subtype of cell lines with high accuracy and good generative performance. http://h2926513.stratoserver.net:3838/MFmap_shiny/
NKI-CCB/TRANSACT
Python implementation of TRANSACT, a tool to transfer non-linear predictors of drug response from model systems to tumors.
vniems/BD-Lithium
A collection of source codes for network-based multi-omics analysis using integrated genome-wide association studies (GWAS) and transcriptomic data to identify genetic contribution into lithium response in patients with bipolar disorder (BD).
henrygerdes/GuavaFarmer
Analysis package for 96 well viability analyses
hyunsoo77/BC_tamoxifen_response
This repository is for ER+ breast cancer scRNA-seq data processing and figure generation.