Asset Detail:
Combination Drug Response Predictor (Combo)
Asset Detail:
Combination Drug Response Predictor (Combo)
Overview
| ASSET LINK: | https://modac.cancer.gov/assetDetails?dme_data_id=NCI-DME-MS01-7678072 |
| PROGRAM NAME: | NCI-DOE Collaboration |
| STUDY NAME: | NCI-DOE Collaboration Cellular Level Pilot: Predictive Modeling for Pre-Clinical Screening |
| ASSET NAME: | Combination Drug Response Predictor (Combo) |
| ASSET PATH: | /NCI_DOE_Archive/JDACS4C/JDACS4C_Pilot_1/combination_drug_response_predictor |
Asset Attributes
| ATTRIBUTE | VALUE |
|---|---|
| ASSET NAME | Combination Drug Response Predictor (Combo) |
| ASSET DESCRIPTION | This collection contains the model topology file and the trained model weights for the Pilot 1 combination drug response predictor (also called Combo). Combo is a deep neural network that predicts tumor cell line growth to drug pairs given combination drug screening results on NCI-60 cell lines available at the NCI-ALMANAC database. The model takes cell line molecular features, drug properties and dose information as input and predicts the response in percentage growth. The model consists of two-stage neural network that is jointly trained for feature encoding and response prediction. It uses a shared submodel for each drug in the pair. For more information, refer to the GitHub Repository link. |
| ASSET IDENTIFIER | combination_drug_response_predictor |
| ASSET TYPE | Model |
| MODEL DOMAIN | Molecular and drug feature profiles |
| MODEL FRAMEWORK | Keras |
| MODEL PLATFORM | Candle |
| PLATFORM VERSION | None |
| IS MODEL DEPLOYED | No |
| COLLECTION SIZE | 110.4 MB |
| CURATION STATUS | Unverified |
| GITHUB REPOSITORY | https://github.com/CBIIT/NCI-DOE-Colab-Pilot1-Combo-combination-drug-response-predictor |
Asset Files
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| FILE/COLLECTION | FILE SIZE | ACTIONS |
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