Method for Independent Estimation of the False Localization Rate for Phosphoproteomics
Author(s) -
Kerry A. Ramsbottom,
Ananth Prakash,
Yasset PérezRiverol,
Oscar M. Camacho,
María Martin,
Juan Antonio Vizcaíno,
Eric W. Deutsch,
Andrew R. Jones
Publication year - 2022
Publication title -
journal of proteome research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.644
H-Index - 161
eISSN - 1535-3907
pISSN - 1535-3893
DOI - 10.1021/acs.jproteome.1c00827
Subject(s) - false discovery rate , phosphoproteomics , computer science , data mining , decoy , false positive rate , data set , set (abstract data type) , identifier , reliability (semiconductor) , computational biology , artificial intelligence , biology , phosphorylation , protein phosphorylation , biochemistry , power (physics) , protein kinase a , receptor , physics , quantum mechanics , gene , programming language
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