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SCUDO: a tool for signature-based clustering of expression profiles

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, signatur...

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Detalles Bibliográficos
Autores principales: Lauria, Mario, Moyseos, Petros, Priami, Corrado
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4489218/
https://www.ncbi.nlm.nih.gov/pubmed/25958391
http://dx.doi.org/10.1093/nar/gkv449
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author Lauria, Mario
Moyseos, Petros
Priami, Corrado
author_facet Lauria, Mario
Moyseos, Petros
Priami, Corrado
author_sort Lauria, Mario
collection PubMed
description 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.
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spelling pubmed-44892182015-07-07 SCUDO: a tool for signature-based clustering of expression profiles Lauria, Mario Moyseos, Petros Priami, Corrado Nucleic Acids Res Web Server issue 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. Oxford University Press 2015-07-01 2015-05-09 /pmc/articles/PMC4489218/ /pubmed/25958391 http://dx.doi.org/10.1093/nar/gkv449 Text en © The Author(s) 2015. Published by Oxford University Press on behalf of Nucleic Acids Research. http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
spellingShingle Web Server issue
Lauria, Mario
Moyseos, Petros
Priami, Corrado
SCUDO: a tool for signature-based clustering of expression profiles
title SCUDO: a tool for signature-based clustering of expression profiles
title_full SCUDO: a tool for signature-based clustering of expression profiles
title_fullStr SCUDO: a tool for signature-based clustering of expression profiles
title_full_unstemmed SCUDO: a tool for signature-based clustering of expression profiles
title_short SCUDO: a tool for signature-based clustering of expression profiles
title_sort scudo: a tool for signature-based clustering of expression profiles
topic Web Server issue
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4489218/
https://www.ncbi.nlm.nih.gov/pubmed/25958391
http://dx.doi.org/10.1093/nar/gkv449
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