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Analysis of Gene Expression Data Using BRB-Array Tools

BRB-ArrayTools is an integrated software system for the comprehensive analysis of DNA microarray experiments. It was developed by professional biostatisticians experienced in the design and analysis of DNA microarray studies and incorporates methods developed by leading statistical laboratories. The...

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Detalles Bibliográficos
Autores principales: Simon, Richard, Lam, Amy, Li, Ming-Chung, Ngan, Michael, Menenzes, Supriya, Zhao, Yingdong
Formato: Texto
Lenguaje:English
Publicado: Libertas Academica 2007
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2675854/
https://www.ncbi.nlm.nih.gov/pubmed/19455231
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author Simon, Richard
Lam, Amy
Li, Ming-Chung
Ngan, Michael
Menenzes, Supriya
Zhao, Yingdong
author_facet Simon, Richard
Lam, Amy
Li, Ming-Chung
Ngan, Michael
Menenzes, Supriya
Zhao, Yingdong
author_sort Simon, Richard
collection PubMed
description BRB-ArrayTools is an integrated software system for the comprehensive analysis of DNA microarray experiments. It was developed by professional biostatisticians experienced in the design and analysis of DNA microarray studies and incorporates methods developed by leading statistical laboratories. The software is designed for use by biomedical scientists who wish to have access to state-of-the-art statistical methods for the analysis of gene expression data and to receive training in the statistical analysis of high dimensional data. The software provides the most extensive set of tools available for predictive classifier development and complete cross-validation. It offers extensive links to genomic websites for gene annotation and analysis tools for pathway analysis. An archive of over 100 datasets of published microarray data with associated clinical data is provided and BRB-ArrayTools automatically imports data from the Gene Expression Omnibus public archive at the National Center for Biotechnology Information.
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spelling pubmed-26758542009-05-19 Analysis of Gene Expression Data Using BRB-Array Tools Simon, Richard Lam, Amy Li, Ming-Chung Ngan, Michael Menenzes, Supriya Zhao, Yingdong Cancer Inform Application Note BRB-ArrayTools is an integrated software system for the comprehensive analysis of DNA microarray experiments. It was developed by professional biostatisticians experienced in the design and analysis of DNA microarray studies and incorporates methods developed by leading statistical laboratories. The software is designed for use by biomedical scientists who wish to have access to state-of-the-art statistical methods for the analysis of gene expression data and to receive training in the statistical analysis of high dimensional data. The software provides the most extensive set of tools available for predictive classifier development and complete cross-validation. It offers extensive links to genomic websites for gene annotation and analysis tools for pathway analysis. An archive of over 100 datasets of published microarray data with associated clinical data is provided and BRB-ArrayTools automatically imports data from the Gene Expression Omnibus public archive at the National Center for Biotechnology Information. Libertas Academica 2007-02-04 /pmc/articles/PMC2675854/ /pubmed/19455231 Text en © 2007 The authors. http://creativecommons.org/licenses/by/3.0 This article is an open-access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/3.0/).
spellingShingle Application Note
Simon, Richard
Lam, Amy
Li, Ming-Chung
Ngan, Michael
Menenzes, Supriya
Zhao, Yingdong
Analysis of Gene Expression Data Using BRB-Array Tools
title Analysis of Gene Expression Data Using BRB-Array Tools
title_full Analysis of Gene Expression Data Using BRB-Array Tools
title_fullStr Analysis of Gene Expression Data Using BRB-Array Tools
title_full_unstemmed Analysis of Gene Expression Data Using BRB-Array Tools
title_short Analysis of Gene Expression Data Using BRB-Array Tools
title_sort analysis of gene expression data using brb-array tools
topic Application Note
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2675854/
https://www.ncbi.nlm.nih.gov/pubmed/19455231
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