Asset Detail:
Dual Graph Convolutional Network Model to Predict Cancer Drug Response (DualGCN)
Asset Detail:
Dual Graph Convolutional Network Model to Predict Cancer Drug Response (DualGCN)
Overview
ASSET LINK: | https://modac.cancer.gov/assetDetails?dme_data_id=NCI-DME-MS01-93159223 |
PROGRAM NAME: | NCI-DOE Collaboration |
STUDY NAME: | NCI-DOE Collaboration IMPROVE Project: Monotherapy pan-cancer pan-drug response prediction |
ASSET NAME: | Dual Graph Convolutional Network Model to Predict Cancer Drug Response (DualGCN) |
ASSET PATH: | /NCI_DOE_Archive/JDACS4C/improve_monotherapy_pancancer_pandrug/dualgcn |
Asset Attributes
ATTRIBUTE | VALUE |
---|---|
ASSET NAME | Dual Graph Convolutional Network Model to Predict Cancer Drug Response (DualGCN) |
ASSET DESCRIPTION | Model-related files for drug response prediction (DRP). These include the model weights, parameters, and Singularity image and definition file. |
ASSET IDENTIFIER | dualgcn |
ASSET TYPE | Model |
MODEL DOMAIN | drug response prediction |
MODEL FRAMEWORK | Keras |
MODEL PLATFORM | IMPROVE |
PLATFORM VERSION | None |
POC NAME | IMPROVE Team |
POC EMAIL | IMPROVE-AI@nih.gov |
IS MODEL DEPLOYED | No |
GITHUB REPOSITORY | https://github.com/JDACS4C-IMPROVE/DualGCN |
Asset Files
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FILE/COLLECTION | FILE SIZE | ACTIONS |
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