Asset Detail:

Integrated DataFrames of Most Prevalent Cancer Types - TopN (Top6/Top21)

Asset Detail:

Integrated DataFrames of Most Prevalent Cancer Types - TopN (Top6/Top21)
Overview
ASSET LINK: https://modac.cancer.gov/assetDetails?dme_data_id=NCI-DME-MS01-5103861
PROGRAM NAME: NCI-DOE Collaboration
STUDY NAME: NCI-DOE Collaboration Cellular Level Pilot: Predictive Modeling for Pre-Clinical Screening
ASSET NAME: Integrated DataFrames of Most Prevalent Cancer Types - TopN (Top6/Top21)
ASSET PATH: /NCI_DOE_Archive/JDACS4C/JDACS4C_Pilot_1/anl_integrated_data_frames_topn
Asset Attributes
  ATTRIBUTE VALUE
ASSET NAME Integrated DataFrames of Most Prevalent Cancer Types - TopN (Top6/Top21)
ASSET DESCRIPTION The TopN DataFrames for Pilot 1 combine drug response data, gene expression data, and drug molecular descriptors into a single DataFrame to support building binary classification or regression machine learning models to predict drug response. These DataFrames include top N cancer types that have the most cell lines with the RNA-Seq and drug response data available. For more information, refer to the Source links.
ASSET IDENTIFIER anl_integrated_data_frames_topn
ASSET TYPE Dataset
IS REFERENCE DATASET No
COLLECTION SIZE 3.0 GB
DATA TYPE RNA-Seq, Drug Response, Molecular Descriptors
SOURCE CCLE https://portals.broadinstitute.org/ccle/data
SOURCE CTRP https://portals.broadinstitute.org/ctrp/
SOURCE GDSC https://www.cancerrxgene.org/downloads/bulk_download
SOURCE NCI-60 - DTP https://dtp.cancer.gov/databases_tools/bulk_data.htm
SOURCE GCSI https://pharmacodb.pmgenomics.ca/datasets/4

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