Deep learning tackles single-cell analysis—a survey of deep learning for scRNA-seq analysis is a research paper published in Briefings in Bioinformatics (2021). On theSindex it has a DataRank of 0. It has been cited 75 times.
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NCI NIH HHS
Grant: K99 CA248944
NCI NIH HHS
Grant: P30 CA054174
Cancer Prevention and Research Institute of Texas
Grant: RP160732
NIGMS NIH HHS
Grant: SC3 GM136594
National Institutes of Health
Grant: 1UL1RR025767
National Institutes of Health
Grant: R01GM113245
NCRR NIH HHS
Grant: UL1 RR025767
NCATS NIH HHS
Grant: UL1 TR002645
NCATS NIH HHS
Grant: UM1 TR004538
NCI Cancer Center Shared Resources
Grant: P30CA54174
National Science Foundation
Grant: 2051113
REU Site: Artificial Intelligence Powered Robotics in 5G Network
Cancer Prevention and Research Institute of Texas
Grant: RP190346
National Institutes of Health
Grant: 1K99CA248944-01
Deep learning of drug sensitivity and genetic dependency of pediatric cancer cells
National Institutes of Health
Grant: 1UL1RR025767-01
CTSA INFRASTRUCTURE FOR CLINICAL TRIALS
National Institutes of Health
Grant: 1R01GM113245-01
Collaborative Research:Graphical models for characterizing global RNA methylation
National Institutes of Health
Grant: 5P30CA054174-16
SAN ANTONIO CANCER INSTITUTE
Fund for Innovation in Cancer Informatics
FWCI
3.89
Citation Percentile
1.0%
Citation Trend
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Sustainable Development Goals