Microarray analysis of autoimmune diseases by machine learning procedures

Armañanzas Arnedillo, Ruben; Calvo Molinos, Borja; Inza Cano, Iñaki; López Hoyos, Marcos; Martinez Taboada, Víctor; Ucar, Eduardo; Bernales, Irantzu; Fullaondo, Asier; Larrañaga Múgica, Pedro y 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.

Descripción

Título: Microarray analysis of autoimmune diseases by machine learning procedures
Autor/es:
  • 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
Tipo de Documento: Artículo
Título de Revista/Publicación: Ieee Transactions on Information Technology in Biomedicine
Fecha: 2009
Volumen: 13
Materias:
Escuela: Facultad de Informática (UPM) [antigua denominación]
Departamento: Otro
Licencias Creative Commons: Reconocimiento - Sin obra derivada - No comercial

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Resumen

—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.

Más información

ID de Registro: 13979
Identificador DC: http://oa.upm.es/13979/
Identificador OAI: oai:oa.upm.es:13979
Identificador DOI: 10.1109/TITB.2008.2011984
Depositado por: Memoria Investigacion
Depositado el: 21 Dic 2012 10:37
Ultima Modificación: 21 Abr 2016 13:25
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