Statistical and machine learning methods for spatially resolved transcriptomics with histology is a research paper published in Computational and Structural Biotechnology Journal (2021). On theSindex it has a DataRank of 0. It has been cited 97 times.
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National Institutes of Health
Grant: R01EY030192
National Institutes of Health
Grant: R01GM125301
National Institutes of Health
Grant: R01HL150359
NHLBI NIH HHS
Grant: R01 HL113147
NHGRI NIH HHS
Grant: T32 HG000046
National Institutes of Health
Grant: 5R01GM125301-02
Statistical Methods for Single-Cell Transcriptomics
National Institutes of Health
Grant: 5R01HL150359-04
Computational and functional strategies to decipher lncRNAs in human atherosclerosis
National Institutes of Health
Grant: 1R01EY030192-01
Single-Cell Transcriptomic Analysis of Human Retina
National Institutes of Health
Grant: 5R01HL113147-03
Elucidation of Tissue-Specific Transcriptomic Profiles in Cardiometabolic Disease
National Institutes of Health
Grant: 5R01EY031209-03
Deconstructing and Modeling the Single Cell Architecture of the Age-Related Macular Degeneration Retina and RPE/Choroid
FWCI
5.93
Citation Percentile
1.0%
Citation Trend
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