The FAST-AIMS Clinical Mass Spectrometry Analysis System | Zendy

Nafeh Fananapazir | Zendy; Alexander Statnikov | Zendy; Constantin Aliferis | Zendy

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The FAST-AIMS Clinical Mass Spectrometry Analysis System

Author(s) -

Nafeh Fananapazir,

Alexander Statnikov,

Constantin Aliferis

Publication year - 2009

Publication title -

advances in bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.33

H-Index - 20

eISSN - 1687-8035

pISSN - 1687-8027

DOI - 10.1155/2009/598241

Subject(s) - computer science , preprocessor , software , data pre processing , automation , data mining , throughput , data science , artificial intelligence , engineering , mechanical engineering , telecommunications , programming language , wireless

Within clinical proteomics, mass spectrometry analysis of biological samples is emerging as an important high-throughput technology, capable of producing powerful diagnostic and prognostic models and identifying important disease biomarkers. As interest in this area grows, and the number of such proteomics datasets continues to increase, the need has developed for efficient, comprehensive, reproducible methods of mass spectrometry data analysis by both experts and nonexperts. We have designed and implemented a stand-alone software system, FAST-AIMS, which seeks to meet this need through automation of data preprocessing, feature selection, classification model generation, and performance estimation. FAST-AIMS is an efficient and user-friendly stand-alone software for predictive analysis of mass spectrometry data. The present resource review paper will describe the features and use of the FAST-AIMS system. The system is freely available for download for noncommercial use.

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