title: SCUDO: a tool for signature-based clustering of expression profiles.
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.
authors.affiliation: The Microsoft Research-University of Trento Centre for Computational and Systems Biology (COSBI), Piazza Manifattura 1, 38068 Rovereto (TN), Italy lauria@cosbi.eu.
authors.forename: Mario
authors.initials: M
authors.lastname: Lauria
authors.affiliation: The Microsoft Research-University of Trento Centre for Computational and Systems Biology (COSBI), Piazza Manifattura 1, 38068 Rovereto (TN), Italy.
authors.forename: Petros
authors.initials: P
authors.lastname: Moyseos
authors.affiliation: 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.
authors.forename: Corrado
authors.initials: C
authors.lastname: Priami
mesh_terms: D001943:Breast Neoplasms / Q000235:genetics / Q000378:metabolism; D016000:Cluster Analysis; D005260:Female; D020869:Gene Expression Profiling / Q000379:methods*; D006801:Humans; D020407:Internet; D035683:MicroRNAs / Q000378:metabolism; D012984:Software
chemical_list: D035683:MicroRNAs