The CRIT framework for identifying cross patterns in systems biology and application to chemogenomics

Biological data is often tabular but finding statistically valid connections between entities in a sequence of tables can be problematic - for example, connecting particular entities in a drug property table to gene properties in a second table, using a third table associating genes with drugs. Here...

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Detalles Bibliográficos
Autores principales: Gianoulis, Tara A, Agarwal, Ashish, Snyder, Michael, Gerstein, Mark B
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2011
Materias:
Method
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3129682/
https://www.ncbi.nlm.nih.gov/pubmed/21453526
http://dx.doi.org/10.1186/gb-2011-12-3-r32
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author Gianoulis, Tara A
Agarwal, Ashish
Snyder, Michael
Gerstein, Mark B
author_facet Gianoulis, Tara A
Agarwal, Ashish
Snyder, Michael
Gerstein, Mark B
author_sort Gianoulis, Tara A
collection PubMed
description Biological data is often tabular but finding statistically valid connections between entities in a sequence of tables can be problematic - for example, connecting particular entities in a drug property table to gene properties in a second table, using a third table associating genes with drugs. Here we present an approach (CRIT) to find connections such as these and show how it can be applied in a variety of genomic contexts including chemogenomics data.
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spelling pubmed-31296822011-07-06 The CRIT framework for identifying cross patterns in systems biology and application to chemogenomics Gianoulis, Tara A Agarwal, Ashish Snyder, Michael Gerstein, Mark B Genome Biol Method Biological data is often tabular but finding statistically valid connections between entities in a sequence of tables can be problematic - for example, connecting particular entities in a drug property table to gene properties in a second table, using a third table associating genes with drugs. Here we present an approach (CRIT) to find connections such as these and show how it can be applied in a variety of genomic contexts including chemogenomics data. BioMed Central 2011 2011-03-31 /pmc/articles/PMC3129682/ /pubmed/21453526 http://dx.doi.org/10.1186/gb-2011-12-3-r32 Text en Copyright ©2011 Gianoulis 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
Gianoulis, Tara A
Agarwal, Ashish
Snyder, Michael
Gerstein, Mark B
The CRIT framework for identifying cross patterns in systems biology and application to chemogenomics
title The CRIT framework for identifying cross patterns in systems biology and application to chemogenomics
title_full The CRIT framework for identifying cross patterns in systems biology and application to chemogenomics
title_fullStr The CRIT framework for identifying cross patterns in systems biology and application to chemogenomics
title_full_unstemmed The CRIT framework for identifying cross patterns in systems biology and application to chemogenomics
title_short The CRIT framework for identifying cross patterns in systems biology and application to chemogenomics
title_sort crit framework for identifying cross patterns in systems biology and application to chemogenomics
topic Method
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3129682/
https://www.ncbi.nlm.nih.gov/pubmed/21453526
http://dx.doi.org/10.1186/gb-2011-12-3-r32
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