The FAST-AIMS Clinical Mass Spectrometry Analysis System

Joint Authors

Aliferis, Constantin F.
Fananapazir, Nafeh
Statnikov, Alexander

Source

Advances in Bioinformatics

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