Integrating diverse genomic data using gene sets

We introduce and evaluate data analysis methods to interpret simultaneous measurement of multiple genomic features made on the same biological samples. Our tools use gene sets to provide an interpretable common scale for diverse genomic information. We show we can detect genetic effects, although th...

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Detalles Bibliográficos
Autores principales: Tyekucheva, Svitlana, Marchionni, Luigi, Karchin, Rachel, Parmigiani, Giovanni
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2011
Materias:
Method
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3333775/
https://www.ncbi.nlm.nih.gov/pubmed/22018358
http://dx.doi.org/10.1186/gb-2011-12-10-r105
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author Tyekucheva, Svitlana
Marchionni, Luigi
Karchin, Rachel
Parmigiani, Giovanni
author_facet Tyekucheva, Svitlana
Marchionni, Luigi
Karchin, Rachel
Parmigiani, Giovanni
author_sort Tyekucheva, Svitlana
collection PubMed
description We introduce and evaluate data analysis methods to interpret simultaneous measurement of multiple genomic features made on the same biological samples. Our tools use gene sets to provide an interpretable common scale for diverse genomic information. We show we can detect genetic effects, although they may act through different mechanisms in different samples, and show we can discover and validate important disease-related gene sets that would not be discovered by analyzing each data type individually.
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spelling pubmed-33337752012-04-23 Integrating diverse genomic data using gene sets Tyekucheva, Svitlana Marchionni, Luigi Karchin, Rachel Parmigiani, Giovanni Genome Biol Method We introduce and evaluate data analysis methods to interpret simultaneous measurement of multiple genomic features made on the same biological samples. Our tools use gene sets to provide an interpretable common scale for diverse genomic information. We show we can detect genetic effects, although they may act through different mechanisms in different samples, and show we can discover and validate important disease-related gene sets that would not be discovered by analyzing each data type individually. BioMed Central 2011 2011-10-21 /pmc/articles/PMC3333775/ /pubmed/22018358 http://dx.doi.org/10.1186/gb-2011-12-10-r105 Text en Copyright ©2011 Tyekucheva et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Method
Tyekucheva, Svitlana
Marchionni, Luigi
Karchin, Rachel
Parmigiani, Giovanni
Integrating diverse genomic data using gene sets
title Integrating diverse genomic data using gene sets
title_full Integrating diverse genomic data using gene sets
title_fullStr Integrating diverse genomic data using gene sets
title_full_unstemmed Integrating diverse genomic data using gene sets
title_short Integrating diverse genomic data using gene sets
title_sort integrating diverse genomic data using gene sets
topic Method
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3333775/
https://www.ncbi.nlm.nih.gov/pubmed/22018358
http://dx.doi.org/10.1186/gb-2011-12-10-r105
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