The FAST-AIMS Clinical Mass Spectrometry Analysis System
Joint Authors
Aliferis, Constantin F.
Fananapazir, Nafeh
Statnikov, Alexander
Source
Issue
Vol. 2009, Issue 2009 (31 Dec. 2009), pp.1-4, 4 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2009-07-09
Country of Publication
Egypt
No. of Pages
4
Main Subjects
Natural & Life Sciences (Multidisciplinary)
Biology
Abstract EN
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.
American Psychological Association (APA)
Fananapazir, Nafeh& Statnikov, Alexander& Aliferis, Constantin F.. 2009. The FAST-AIMS Clinical Mass Spectrometry Analysis System. Advances in Bioinformatics،Vol. 2009, no. 2009, pp.1-4.
https://search.emarefa.net/detail/BIM-483988
Modern Language Association (MLA)
Fananapazir, Nafeh…[et al.]. The FAST-AIMS Clinical Mass Spectrometry Analysis System. Advances in Bioinformatics No. 2009 (2009), pp.1-4.
https://search.emarefa.net/detail/BIM-483988
American Medical Association (AMA)
Fananapazir, Nafeh& Statnikov, Alexander& Aliferis, Constantin F.. The FAST-AIMS Clinical Mass Spectrometry Analysis System. Advances in Bioinformatics. 2009. Vol. 2009, no. 2009, pp.1-4.
https://search.emarefa.net/detail/BIM-483988
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-483988