Asset Detail:
RNA-Seq Latent Featurizer Using Center Loss Cost Function (CLRNA)
Asset Detail:
RNA-Seq Latent Featurizer Using Center Loss Cost Function (CLRNA)
Overview
| ASSET LINK: | https://modac.cancer.gov/assetDetails?dme_data_id=NCI-DME-MS01-9815585 |
| PROGRAM NAME: | NCI-DOE Collaboration |
| STUDY NAME: | NCI-DOE Collaboration Cellular Level Pilot: Predictive Modeling for Pre-Clinical Screening |
| ASSET NAME: | RNA-Seq Latent Featurizer Using Center Loss Cost Function (CLRNA) |
| ASSET PATH: | /NCI_DOE_Archive/JDACS4C/JDACS4C_Pilot_1/rna_seq_latent_featurizer_using_center_loss_cost_function_CLRNA |
Asset Attributes
| ATTRIBUTE | VALUE |
|---|---|
| ASSET NAME | RNA-Seq Latent Featurizer Using Center Loss Cost Function (CLRNA) |
| ASSET DESCRIPTION | The RNA-Seq latent featurizer using center loss cost function (CLRNA) is a Python package built on TensorFlow to learn new features for RNA-Seq data. For more information, refer to the GitHub Repository link. |
| ASSET IDENTIFIER | rna_seq_latent_featurizer_using_center_loss_cost_function_CLRNA |
| ASSET TYPE | Model |
| MODEL DOMAIN | RNA-Seq |
| MODEL FRAMEWORK | Tensorflow |
| MODEL PLATFORM | Other |
| PLATFORM VERSION | NA |
| IS MODEL DEPLOYED | No |
| COLLECTION SIZE | 2.7 GB |
| GITHUB REPOSITORY | https://github.com/CBIIT/NCI-DOE-Collab-Pilot1-Semi-Supervised-Feature-Learning-with-Center-Loss |
Asset Files
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| FILE/COLLECTION | FILE SIZE | ACTIONS |
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