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Publication Details
AFRICAN RESEARCH NEXUS
SHINING A SPOTLIGHT ON AFRICAN RESEARCH
biochemistry, genetics and molecular biology
Analysis of mass spectral serum profiles for biomarker selection
Bioinformatics, Volume 21, No. 21, Year 2005
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Description
Motivation: Mass spectrometric profiles of peptides and proteins obtained by current technologies are characterized by complex spectra, high dimensionality and substantial noise. These characteristics generate challenges in the discovery of proteins and protein-profiles that distinguish disease states, e.g. cancer patients from healthy individuals. We present low-level methods for the processing of mass spectral data and a machine learning method that combines support vector machines, with particle swarm optimization for biomarker selection. Results: The proposed method identified mass points that achieved high prediction accuracy in distinguishing liver cancer patients from healthy individuals in SELDI-QqTOF profiles of serum. © The Author 2005. Published by Oxford Press. All rights reserved.
Authors & Co-Authors
Ressom, Habtom W.
United States, Washington, D.c.
Georgetown Lombardi Comprehensive Cancer Center
Varghese, Rency S.
United States, Washington, D.c.
Georgetown Lombardi Comprehensive Cancer Center
Abdel-Hamid, Mohamed A.
Egypt, Cairo
Nhtmri
Eissa, Soheir Abdel Latif
Egypt, Giza
National Cancer Institute
Saha, Daniel T.
United States, Washington, D.c.
Georgetown Lombardi Comprehensive Cancer Center
Goldman, Lenka
United States, Washington, D.c.
Georgetown Lombardi Comprehensive Cancer Center
Petricoin, Emanuel F.
United States, Rockville
National Cancer Institute Nci
Conrads, Thomas P.
United States, Frederick
Saic-frederick
Veenstra, Timothy D.
United States, Frederick
Saic-frederick
Loffredo, Christopher A.
United States, Washington, D.c.
Georgetown Lombardi Comprehensive Cancer Center
Goldman, Radoslav
United States, Washington, D.c.
Georgetown Lombardi Comprehensive Cancer Center
Statistics
Citations: 94
Authors: 11
Affiliations: 5
Identifiers
Doi:
10.1093/bioinformatics/bti670
ISSN:
13674803
e-ISSN:
13674811
Research Areas
Cancer