drug-response

There are 0 repository 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
drug-response gene-network manifold-learning single-cell cell-type-prioritization
Language:R 18
PNNL-CompBio / coderdata
Automation scripts and benchmark dataset package for cancer drug prediction deep learning models.
benchmark-dataset cancer deep-learning drug-response machine-learning
Language:Jupyter Notebook 11
meyer-lab / tHMM
A general Python framework for using hidden Markov models on binary trees or cell lineage trees.
inference bioengineering cell-biology heterogeneity drug-response
Language:Python 9
NKI-CCB / sobolev_alignment
Sobolev alignment of deep probabilistic models for comparing single cell profiles
cancer-genomics cell-lines deep-learning gene-expression kernel-machine-learning pre-clinical scanpy scrna-seq scvi-tools single-cell variational-autoencoder clinical drug-response python
Language:Python 5
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/
generative-model vae semi-supervised-learning cancer genomics cancer-stratification cell-lines tcga ccle high-dimensional-data cellline-tumor-matching translational-medcine cancer-subtype in-silico-perturbation drug-response
Language:Python 2
NKI-CCB / TRANSACT
Python implementation of TRANSACT, a tool to transfer non-linear predictors of drug response from model systems to tumors.
cell-lines drug-response drug-response-prediction interpretability kernel-methods python tumors principal-vectors
Language:HTML 2
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).
bipolar-disorder drug-response functional-enrichment genome-wide-association-studies ipsc lithium multi-omics network-analysis pathview rna-sequencing transcriptomics induced-pluripotent-stem-cells pharmacogenetics
Language:HTML 2
henrygerdes / GuavaFarmer
Analysis package for 96 well viability analyses
96-well-plate bioinformatics cancer-research drug-response inhibitors viability
Language:HTML 0
hyunsoo77 / BC_tamoxifen_response
This repository is for ER+ breast cancer scRNA-seq data processing and figure generation.
sc-rna-seq breast-cancer drug-resistance drug-response tamoxifen
Language:Jupyter Notebook 0
CBIIT / NCI-DOE-Collab-Pilot1-Combo-combination-drug-response-predictor
nci-doe-collaboration-capability drug-response nci-almanac
Language:Python

drug-response

ZJUFanLab / scRank

PNNL-CompBio / coderdata

meyer-lab / tHMM

NKI-CCB / sobolev_alignment

mcmzxx / mfMap.py

NKI-CCB / TRANSACT

vniems / BD-Lithium

henrygerdes / GuavaFarmer

hyunsoo77 / BC_tamoxifen_response

CBIIT / NCI-DOE-Collab-Pilot1-Combo-combination-drug-response-predictor