A hybrid approach to protein differential expression in mass spectrometry-based proteomics | Zendy

Xuan Wang | Zendy; Gordon Anderson | Zendy; Richard Smith | Zendy; Alan R. Dabney | Zendy

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A hybrid approach to protein differential expression in mass spectrometry-based proteomics

Author(s) -

Xuan Wang,

Gordon Anderson,

Richard Smith,

Alan R. Dabney

Publication year - 2012

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/bts193

Subject(s) - proteomics , quantitative proteomics , inference , computer science , censoring (clinical trials) , computational biology , mass spectrometry , false discovery rate , statistical inference , binary number , biology , chemistry , statistics , mathematics , chromatography , artificial intelligence , genetics , gene , arithmetic

Quantitative mass spectrometry-based proteomics involves statistical inference on protein abundance, based on the intensities of each protein's associated spectral peaks. However, typical MS-based proteomics datasets have substantial proportions of missing observations, due at least in part to censoring of low intensities. This complicates intensity-based differential expression analysis.

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