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SCUDO: a tool for signature-based clustering of expression profiles.
Lauria, Mario; Moyseos, Petros; Priami, Corrado.
Afiliação
  • Lauria M; The Microsoft Research-University of Trento Centre for Computational and Systems Biology (COSBI), Piazza Manifattura 1, 38068 Rovereto (TN), Italy lauria@cosbi.eu.
  • Moyseos P; The Microsoft Research-University of Trento Centre for Computational and Systems Biology (COSBI), Piazza Manifattura 1, 38068 Rovereto (TN), Italy.
  • Priami C; The Microsoft Research-University of Trento Centre for Computational and Systems Biology (COSBI), Piazza Manifattura 1, 38068 Rovereto (TN), Italy Department of Mathematics, University of Trento, via Sommarive, 14, 38123 Povo (TN), Italy.
Nucleic Acids Res ; 43(W1): W188-92, 2015 Jul 01.
Article em En | MEDLINE | ID: mdl-25958391
ABSTRACT
SCUDO (Signature-based ClUstering for DiagnOstic purposes) is an online tool for the analysis of gene expression profiles for diagnostic and classification purposes. The tool is based on a new method for the clustering of profiles based on a subject-specific, as opposed to disease-specific, signature. Our approach relies on construction of a reference map of transcriptional signatures, from both healthy and affected subjects, derived from their respective mRNA or miRNA profiles. A diagnosis for a new individual can then be performed by determining the position of the individual's transcriptional signature on the map. The diagnostic power of our method has been convincingly demonstrated in an open scientific competition (SBV Improver Diagnostic Signature Challenge), scoring second place overall and first place in one of the sub-challenges.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Software / Perfilação da Expressão Gênica Limite: Female / Humans Idioma: En Revista: Nucleic Acids Res Ano de publicação: 2015 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Software / Perfilação da Expressão Gênica Limite: Female / Humans Idioma: En Revista: Nucleic Acids Res Ano de publicação: 2015 Tipo de documento: Article