Machine and deep learning approaches for cancer drug repurposing is a research paper published in Seminars in Cancer Biology (2020). On theSindex it has a DataRank of 0. It has been cited 271 times.
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NCI NIH HHS
Grant: P30 CA051008
NCATS NIH HHS
Grant: U24 TR002278
NHLBI NIH HHS
Grant: U54 HL127624
NLM NIH HHS
Grant: U01 LM012630
National Institutes of Health
Grant: 3P30CA051008-16S1
CANCER CENTER SUPPORT GRANT
National Institutes of Health
Grant: 1U24TR002278-01
Illuminating the Druggable Genome Resource Dissemination and Outreach Center (IDG-RDOC)
National Institutes of Health
Grant: 5U01LM012630-03
Unifying Templates, Ontologies and Tools to Achieve Effective Annotation of Bioassay Protocols
National Institutes of Health
Grant: 5U54HL127624-02
Data Coordination and Integration Center for LINCS-BD2K
U.S. Department of Defense
National Institutes of Health
FWCI
13.95
Citation Percentile
1.0%
Citation Trend
Fields of Study
MeSH Terms
Keywords
Sustainable Development Goals
Additional file 1 of Development and validation of a deep learning model for predicting postoperative survival of patients with gastric cancer
Additional file 1 of Development and validation of a deep learning model for predicting postoperative survival of patients with gastric cancer