Reanalysis of ProteomicsDB Using an Accurate, Sensitive, and Scalable False Discovery Rate Estimation Approach for Protein Groups
Author(s) -
Matthew The,
Patroklos Samaras,
Bernhard Küster,
Mathias Wilhelm
Publication year - 2022
Publication title -
molecular and cellular proteomics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.757
H-Index - 187
eISSN - 1535-9484
pISSN - 1535-9476
DOI - 10.1016/j.mcpro.2022.100437
Subject(s) - false discovery rate , computer science , scalability , computational biology , estimation , data mining , chemistry , biology , biochemistry , engineering , gene , systems engineering , database
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