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/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 , statistical power , computational biology , correlative , data mining , sensitivity (control systems) , correlation , bioinformatics , machine learning , biology , artificial intelligence , statistics , mathematics , genetics , linguistics , philosophy , geometry , electronic engineering , engineering , gene