apLCMS—adaptive processing of high-resolution LC/MS data | Zendy

Tianwei Yu | Zendy; Youngja Park | Zendy; Jennifer M. Johnson | Zendy; Dean P. Jones | Zendy

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apLCMS—adaptive processing of high-resolution LC/MS data

Author(s) -

Tianwei Yu,

Youngja Park,

Jennifer M. Johnson,

Dean P. Jones

Publication year - 2009

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/btp291

Subject(s) - computer science , computation , data set , filter (signal processing) , data processing , data mining , parametric statistics , pattern recognition (psychology) , algorithm , artificial intelligence , mathematics , computer vision , statistics , operating system

Liquid chromatography-mass spectrometry (LC/MS) profiling is a promising approach for the quantification of metabolites from complex biological samples. Significant challenges exist in the analysis of LC/MS data, including noise reduction, feature identification/ quantification, feature alignment and computation efficiency.

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