Bayesian combinatorial MultiStudy factor analysis is a research paper published in The Annals of Applied Statistics (2023). On theSindex it has a DataRank of 0.434. It has been cited 9 times, with 6 citing works in its 1-hop citation network.
Scored on demand from live citation data
Linked data & code
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Base Score Contribution
0.345
From this paper's citation signal
Citation Network Contribution
0.0887
From 3 citing papers with measurable signal
Ranked by each citer's contribution to N(p) — log1p(Cq) divided by its reference count — out of 6 citers.
NLM NIH HHS
Grant: R01 LM013352
NLM NIH HHS
Grant: T32 LM012411
NCI NIH HHS
Grant: R01 CA262710
National Institutes of Health
Grant: 5P30CA006516-54
Dana-Farber/Harvard Cancer Center
National Institutes of Health
Grant: 5R01CA262710-02
Statistical methods for cancer mutational signatures
National Institutes of Health
Grant: 5T32LM012411-03
Statistical and Quantitative Training in Big Data Health Science
National Science Foundation
Grant: 2113707
Advancing Statistical Methods for Multi-Study Predictions
National Institutes of Health
Grant: 3P30CA006516-41S6
CANCER CENTER SUPPORT GRANT
National Science Foundation
Grant: 1745303
Graduate Research Fellowship Program (GRFP)
National Science Foundation
Grant: 1810829
Statistical Methods for Multi-Study Predictions
FWCI
0.74
Citation Percentile
0.7%
Influential Citations
1
Citation Trend
Fields of Study
Keywords