Evaluation of linear models and missing value imputation for the analysis of peptide-centric proteomics

Evaluation of linear models and missing value imputation for the analysis of peptide-centric proteomics

Abstract Background Several methods to handle data generated from bottom-up proteomics via liquid chromatography-mass spectrometry, particularly for peptide-centric quantification dealing with post-translational modification (PTM) analysis like reversible cysteine oxidation are evaluated. The paper...

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Bibliographic Details
Main Authors: Philip Berg, Evan W. McConnell, Leslie M. Hicks, Sorina C. Popescu, George V. Popescu
Format: Article
Language:English
Published: BMC 2019-03-01
Series:BMC Bioinformatics
Subjects:
Post-translational modifications
Redox proteome
Mass spectrometry
Multiple imputation
Linear regression models
Online Access:http://link.springer.com/article/10.1186/s12859-019-2619-6

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http://link.springer.com/article/10.1186/s12859-019-2619-6

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