Single-Cell Techniques and Deep Learning in Predicting Drug Response is a research paper published in Trends in Pharmacological Sciences (2020). On theSindex it has a DataRank of 0. It has been cited 67 times.
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NIDCR NIH HHS
Grant: R01 DE025447
NIGMS NIH HHS
Grant: R01 GM131399
NIGMS NIH HHS
Grant: R35 GM126985
National Institutes of Health
Grant: 5R35GM126985-04
Interpretable and extendable deep learning model for biological sequence analysis and prediction
National Institutes of Health
Grant: 7R01GM131399-02
Construction of cell specific gene co-regulations signatures based on single cell transcriptomics analysis
National Institutes of Health
Grant: 5R01DE025447-02
Investigation of Latency Promoting Genes (LPGs) in HIV Oral Reservoir Cells
National Institutes of Health
FWCI
2.46
Citation Percentile
0.9%
Citation Trend
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MeSH Terms
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Sustainable Development Goals