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

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