Open AccessAPIR: a universal FDR-control framework for boosting peptide identification power by aggregating multiple proteomics database search algorithms
Author(s) -
Yiling Chen,
Kyla Woyshner,
MeiLu McDermott,
Leo Wang,
Jing Li
Publication year - 2021
Publication title -
zenodo (cern european organization for nuclear research)
Language(s) - English
DOI - 10.5281/zenodo.5202768
Subject(s) - boosting (machine learning) , computer science , false discovery rate , identification (biology) , proteomics , database search engine , data mining , database , algorithm , information retrieval , artificial intelligence , search engine , chemistry , biology , botany , gene , biochemistry
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