IMPROVE

Pinned Repositories

docs
Language:Python3 1 163
DualGCN
Language:Python10
GAECDS
Language:Python00
GraphDRP
Language:Jupyter Notebook14
HPO
Setup and configs for HPO runs
Language:Jupyter Notebook1 1 00
IMPROVE
Libraries and scripts for basic IMPROVE functionalities
Language:Python13
Paccmann_MCA
PyTorch implementation of bimodal neural networks for drug-cell (pharmarcogenomics) and drug-protein (proteochemometrics) interaction prediction
Language:Python1 0 101
Precily
Language:R0 0 00
Singularity
Singularity definitions that can be extended to support execution of community models.
Language:Shell3 4 535
Sunspot
Language:Python00

IMPROVE's Repositories

JDACS4C-IMPROVE/docs
Language:Python3 1 163
JDACS4C-IMPROVE/Singularity
Singularity definitions that can be extended to support execution of community models.
Language:Shell3 4 535
JDACS4C-IMPROVE/DualGCN
Language:Python10
JDACS4C-IMPROVE/GraphDRP
Language:Jupyter Notebook14
JDACS4C-IMPROVE/HPO
Setup and configs for HPO runs
Language:Jupyter Notebook1 1 00
JDACS4C-IMPROVE/IMPROVE
Libraries and scripts for basic IMPROVE functionalities
Language:Python13
JDACS4C-IMPROVE/Paccmann_MCA
PyTorch implementation of bimodal neural networks for drug-cell (pharmarcogenomics) and drug-protein (proteochemometrics) interaction prediction
Language:Python1 0 101
JDACS4C-IMPROVE/DrugCell
A visible neural network model for drug response prediction
Language:Jupyter Notebook0 0 152
JDACS4C-IMPROVE/GAECDS
Language:Python00
JDACS4C-IMPROVE/PathDSP
Explainable Drug Sensitivity Prediction through Cancer Pathway Enrichment Scores
Language:Python0 0 62
JDACS4C-IMPROVE/Sunspot
Language:Python00
JDACS4C-IMPROVE/.github
Public README for organization
JDACS4C-IMPROVE/Benchmarks
ECP-CANDLE Benchmarks
JDACS4C-IMPROVE/BiG-DRP
Language:Python0 1
JDACS4C-IMPROVE/DeepCDR
Cancer Drug Response Prediction via a Hybrid Graph Convolutional Network
Language:Python0 5
JDACS4C-IMPROVE/DeepDDs
Language:Python
JDACS4C-IMPROVE/DeepSynergy
Language:Jupyter Notebook
JDACS4C-IMPROVE/DeepTTC
DeepTTC: a transformer-based model for predicting cancer drug response
Language:Python
JDACS4C-IMPROVE/DGSDRP
The source code of paper "deep graph and sequence representation learning for drug response prediction"
JDACS4C-IMPROVE/DRPreter
DRPreter: Interpretable Anticancer Drug Response Prediction Using Knowledge-Guided Graph Neural Networks and Transformer
Language:Python
JDACS4C-IMPROVE/HiDRA
HiDRA
Language:Python1
JDACS4C-IMPROVE/IGTD
Image Generator for Tabular Data (IGTD): Converting Tabular Data to Images for Deep Learning Using Convolutional Neural Networks
Language:Python
JDACS4C-IMPROVE/IMPROVE_LIB
Libraries and scripts for basic IMPROVE functionalities
Language:Python
JDACS4C-IMPROVE/LGBM
Language:Python
JDACS4C-IMPROVE/matchmaker
Initial Commit
Language:Python
JDACS4C-IMPROVE/Scratch
Language:Jupyter Notebook
JDACS4C-IMPROVE/SDCNet
Language:Python
JDACS4C-IMPROVE/tCNNS-Project
twin CNN channels on drugs and cancer cell lines
Language:Python0 6
JDACS4C-IMPROVE/TGSA
PyTorch implementation of <<TGSA: Protein-Protein Association-Based Twin Graph Neural Networks for Drug Response Prediction with Similarity Augmentation>>
Language:Python0 91
JDACS4C-IMPROVE/UNO
Standalone UNO repo for the IMPROVE project
Language:Python