A cost-sensitive online learning method for peptide identification

A cost-sensitive online learning method for peptide identification

Abstract Background Post-database search is a key procedure in peptide identification with tandem mass spectrometry (MS/MS) strategies for refining peptide-spectrum matches (PSMs) generated by database search engines. Although many statistical and machine learning-based methods have been developed t...

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Bibliographic Details
Main Authors: Xijun Liang, Zhonghang Xia, Ling Jian, Yongxiang Wang, Xinnan Niu, Andrew J. Link
Format: Article
Language:English
Published: BMC 2020-04-01
Series:BMC Genomics
Subjects:
Peptide identification
Mass spectrometry
Classification
Support vector machines
Online learning
Online Access:http://link.springer.com/article/10.1186/s12864-020-6693-y

Internet

http://link.springer.com/article/10.1186/s12864-020-6693-y

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