attract: A Method for Identifying Core Pathways That Define Cellular Phenotypes

attract is a knowledge-driven analytical approach for identifying and annotating the gene-sets that best discriminate between cell phenotypes. attract finds distinguishing patterns within pathways, decomposes pathways into meta-genes representative of these patterns, and then generates synexpression...

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Detalles Bibliográficos
Autores principales: Mar, Jessica C., Matigian, Nicholas A., Quackenbush, John, Wells, Christine A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2011
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3194807/
https://www.ncbi.nlm.nih.gov/pubmed/22022396
http://dx.doi.org/10.1371/journal.pone.0025445
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author Mar, Jessica C.
Matigian, Nicholas A.
Quackenbush, John
Wells, Christine A.
author_facet Mar, Jessica C.
Matigian, Nicholas A.
Quackenbush, John
Wells, Christine A.
author_sort Mar, Jessica C.
collection PubMed
description attract is a knowledge-driven analytical approach for identifying and annotating the gene-sets that best discriminate between cell phenotypes. attract finds distinguishing patterns within pathways, decomposes pathways into meta-genes representative of these patterns, and then generates synexpression groups of highly correlated genes from the entire transcriptome dataset. attract can be applied to a wide range of biological systems and is freely available as a Bioconductor package and has been incorporated into the MeV software system.
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spelling pubmed-31948072011-10-21 attract: A Method for Identifying Core Pathways That Define Cellular Phenotypes Mar, Jessica C. Matigian, Nicholas A. Quackenbush, John Wells, Christine A. PLoS One Research Article attract is a knowledge-driven analytical approach for identifying and annotating the gene-sets that best discriminate between cell phenotypes. attract finds distinguishing patterns within pathways, decomposes pathways into meta-genes representative of these patterns, and then generates synexpression groups of highly correlated genes from the entire transcriptome dataset. attract can be applied to a wide range of biological systems and is freely available as a Bioconductor package and has been incorporated into the MeV software system. Public Library of Science 2011-10-14 /pmc/articles/PMC3194807/ /pubmed/22022396 http://dx.doi.org/10.1371/journal.pone.0025445 Text en This is an open-access article, free of all copyright, and may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. The work is made available under the Creative Commons CC0 public domain dedication. https://creativecommons.org/publicdomain/zero/1.0/ This is an open-access article distributed under the terms of the Creative Commons Public Domain declaration, which stipulates that, once placed in the public domain, this work may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose.
spellingShingle Research Article
Mar, Jessica C.
Matigian, Nicholas A.
Quackenbush, John
Wells, Christine A.
attract: A Method for Identifying Core Pathways That Define Cellular Phenotypes
title attract: A Method for Identifying Core Pathways That Define Cellular Phenotypes
title_full attract: A Method for Identifying Core Pathways That Define Cellular Phenotypes
title_fullStr attract: A Method for Identifying Core Pathways That Define Cellular Phenotypes
title_full_unstemmed attract: A Method for Identifying Core Pathways That Define Cellular Phenotypes
title_short attract: A Method for Identifying Core Pathways That Define Cellular Phenotypes
title_sort attract: a method for identifying core pathways that define cellular phenotypes
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3194807/
https://www.ncbi.nlm.nih.gov/pubmed/22022396
http://dx.doi.org/10.1371/journal.pone.0025445
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