Biwhitening Reveals the Rank of a Count Matrix is a research paper published in SIAM Journal on Mathematics of Data Science (2022). On theSindex it has a DataRank of 0.449. It has been cited 19 times.
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Base Score Contribution
0.449
From this paper's citation signal
Citation Network Contribution
0
Citation network not refreshed for this result
This paper's DataRank is currently driven only by its base citation score. Citation network data was not refreshed for this result.
Learn more about DataRank methodology →National Institutes of Health
Grant: R01GM131642
National Institutes of Health
Grant: UM1DA051410
National Institutes of Health
Grant: U01DA053628
National Institutes of Health
Grant: U54AG076043
National Institutes of Health
Grant: R01GM135928
National Institutes of Health
Grant: 2P50CA1219
NIA NIH HHS
Grant: U54 AG079759
National Institutes of Health
Grant: 5R01GM131642-04
EFFICIENT METHODS FOR CALIBRATION, CLUSTERING, VISUALIZATION AND IMPUTATION OF LARGE scRNA-seq DATA
National Institutes of Health
Grant: 5UM1DA051410-03
The Y-SCORCH Data Generation Center at Yale for Single-Cell Opioid Responses in the Context of HIV
National Institutes of Health
Grant: 5U01DA053628-05
M-SCORCH: Methamphetamine use disorder data generation center for Single Cell Opioid Responses in the Context of HIV
National Institutes of Health
Grant: 1UM1DA051410-01
The Y-SCORCH Data Generation Center at Yale for Single-Cell Opioid Responses in the Context of HIV
National Institutes of Health
Grant: 5R01GM135928-03
Imputing single cell RNA sequencing data: Mathematical, statistical and computational challenges
National Institutes of Health
Grant: 5U54AG076043-02
Yale TMC for Cellular Senescence in Lymphoid Organs
National Institutes of Health
Grant: 5R01GM131642-02
EFFICIENT METHODS FOR CALIBRATION, CLUSTERING, VISUALIZATION AND IMPUTATION OF LARGE scRNA-seq DATA
FWCI
3.31
Citation Percentile
0.9%
Citation Trend
Fields of Study
Keywords
Sustainable Development Goals