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Start Over Resource Type Article Collection UNT Scholarly Works Degree Department Computer Science Day 21st

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MetaLP: An integrative linear programming method for protein inference in metaproteomics (open access)

MetaLP: An integrative linear programming method for protein inference in metaproteomics

Authors of the article discuss how MetaLP was developed here for protein inference in metaproteomics using an integrative linear programming method. Authors claim that MetaLP could substantially improve protein inference for complex metaproteomes by incorporating taxonomic abundance information in a linear programming model.
Date: October 21, 2022
Creator: Feng, Shichao; Ji, Hong-Long; Wang, Huan; Zhang, Bailu; Sterzenbach, Ryan; Pan, Chongle et al.
System: The UNT Digital Library