Microarray analysis of autoimmune diseases by machine learning procedures

Armañanzas Arnedillo, Ruben and Calvo Molinos, Borja and Inza Cano, Iñaki and López Hoyos, Marcos and Martinez Taboada, Víctor and Ucar, Eduardo and Bernales, Irantzu and Fullaondo, Asier and Larrañaga Múgica, Pedro and Zubiaga, Ana María (2009). Microarray analysis of autoimmune diseases by machine learning procedures. "Ieee Transactions on Information Technology in Biomedicine", v. 13 (n. 3); pp. 341-350. ISSN 1089-7771. https://doi.org/10.1109/TITB.2008.2011984.

Description

Title: Microarray analysis of autoimmune diseases by machine learning procedures
Author/s:
  • Armañanzas Arnedillo, Ruben
  • Calvo Molinos, Borja
  • Inza Cano, Iñaki
  • López Hoyos, Marcos
  • Martinez Taboada, Víctor
  • Ucar, Eduardo
  • Bernales, Irantzu
  • Fullaondo, Asier
  • Larrañaga Múgica, Pedro
  • Zubiaga, Ana María
Item Type: Article
Título de Revista/Publicación: Ieee Transactions on Information Technology in Biomedicine
Date: 2009
ISSN: 1089-7771
Volume: 13
Subjects:
Faculty: Facultad de Informática (UPM)
Department: Otro
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

—Microarray-based global gene expression profiling, with the use of sophisticated statistical algorithms is providing new insights into the pathogenesis of autoimmune diseases. We have applied a novel statistical technique for gene selection based on machine learning approaches to analyze microarray expression data gathered from patients with systemic lupus erythematosus (SLE) and primary antiphospholipid syndrome (PAPS), two autoimmune diseases of unknown genetic origin that share many common features. The methodology included a combination of three data discretization policies, a consensus gene selection method, and a multivariate correlation measurement. A set of 150 genes was found to discriminate SLE and PAPS patients from healthy individuals. Statistical validations demonstrate the relevance of this gene set from an univariate and multivariate perspective. Moreover, functional characterization of these genes identified an interferon-regulated gene signature, consistent with previous reports. It also revealed the existence of other regulatory pathways, including those regulated by PTEN, TNF, and BCL-2, which are altered in SLE and PAPS. Remarkably, a significant number of these genes carry E2F binding motifs in their promoters, projecting a role for E2F in the regulation of autoimmunity.

More information

Item ID: 13979
DC Identifier: http://oa.upm.es/13979/
OAI Identifier: oai:oa.upm.es:13979
DOI: 10.1109/TITB.2008.2011984
Deposited by: Memoria Investigacion
Deposited on: 21 Dec 2012 10:37
Last Modified: 21 Apr 2016 13:25
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