Open AccessTriqler for MaxQuant: Enhancing Results from MaxQuant by Bayesian Error Propagation and Integration
Author(s) -
Matthew The,
Lukas Käll
Publication year - 2021
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.0c00902
Subject(s) - computer science , python (programming language) , bayesian probability , interface (matter) , license , data mining , programming language , artificial intelligence , operating system , bubble , maximum bubble pressure method
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