Open AccessSCRaPL: A Bayesian hierarchical framework for detecting technical associates in single cell multiomics data
Author(s) -
Christos Maniatis,
Catalina A. Vallejos,
Guido Sanguinetti
Publication year - 2022
Publication title -
plos computational biology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.628
H-Index - 182
eISSN - 1553-7358
pISSN - 1553-734X
DOI - 10.1371/journal.pcbi.1010163
Subject(s) - bayesian probability , computer science , robustness (evolution) , false positive paradox , computational biology , statistical power , data mining , correlative , correlation , systems biology , bioinformatics , machine learning , artificial intelligence , biology , statistics , mathematics , gene , linguistics , philosophy , geometry , biochemistry
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