Understanding cellular function and disease with comparative pathway analysis

Pathway analysis is important in interpreting the functional implications of high-throughput experimental results, but robust comparison across platforms and species is problematic. A new approach, Pathprinting, provides a cross-platform, cross-species comparative analysis of pathway expression sign...

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Detalles Bibliográficos
Autores principales: Davis, Melissa J, Ragan, Mark A
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2013
Materias:
Research Highlight
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3978626/
https://www.ncbi.nlm.nih.gov/pubmed/23889971
http://dx.doi.org/10.1186/gm468
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author Davis, Melissa J
Ragan, Mark A
author_facet Davis, Melissa J
Ragan, Mark A
author_sort Davis, Melissa J
collection PubMed
description Pathway analysis is important in interpreting the functional implications of high-throughput experimental results, but robust comparison across platforms and species is problematic. A new approach, Pathprinting, provides a cross-platform, cross-species comparative analysis of pathway expression signatures. This method calculates pathway-level statistics from gene expression across nearly 180,000 microarrays in the Gene Expression Omnibus. Pathprinting can accurately retrieve phenotypically similar samples and identify sets of human and mouse genes that are prognostic in cancer. See related Research paper, http://genomemedicine.com/content/5/7/68
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spelling pubmed-39786262014-04-09 Understanding cellular function and disease with comparative pathway analysis Davis, Melissa J Ragan, Mark A Genome Med Research Highlight Pathway analysis is important in interpreting the functional implications of high-throughput experimental results, but robust comparison across platforms and species is problematic. A new approach, Pathprinting, provides a cross-platform, cross-species comparative analysis of pathway expression signatures. This method calculates pathway-level statistics from gene expression across nearly 180,000 microarrays in the Gene Expression Omnibus. Pathprinting can accurately retrieve phenotypically similar samples and identify sets of human and mouse genes that are prognostic in cancer. See related Research paper, http://genomemedicine.com/content/5/7/68 BioMed Central 2013-07-26 /pmc/articles/PMC3978626/ /pubmed/23889971 http://dx.doi.org/10.1186/gm468 Text en Copyright © 2013 BioMed Central
spellingShingle Research Highlight
Davis, Melissa J
Ragan, Mark A
Understanding cellular function and disease with comparative pathway analysis
title Understanding cellular function and disease with comparative pathway analysis
title_full Understanding cellular function and disease with comparative pathway analysis
title_fullStr Understanding cellular function and disease with comparative pathway analysis
title_full_unstemmed Understanding cellular function and disease with comparative pathway analysis
title_short Understanding cellular function and disease with comparative pathway analysis
title_sort understanding cellular function and disease with comparative pathway analysis
topic Research Highlight
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3978626/
https://www.ncbi.nlm.nih.gov/pubmed/23889971
http://dx.doi.org/10.1186/gm468
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