Open AccessRandom-effects meta-analysis of effect sizes as a unified framework for gene set analysis
Author(s) -
Mohammad A. Makrooni,
Dónal O’Shea,
Paul Geeleher,
Cathal Seoighe
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.1010278
Subject(s) - interpretability , robustness (evolution) , sample size determination , statistical hypothesis testing , computer science , random effects model , statistics , set (abstract data type) , statistical analysis , meta analysis , false discovery rate , computational biology , data mining , mathematics , gene , biology , genetics , artificial intelligence , medicine , programming language
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