Understanding cellular function and disease with comparative pathway analysis

Davis, Melissa J. and Ragan, Mark A. (2013) Understanding cellular function and disease with comparative pathway analysis. Genome Medicine, 5 7: 64.1-64.2. doi:10.1186/gm468

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Author Davis, Melissa J.
Ragan, Mark A.
Title Understanding cellular function and disease with comparative pathway analysis
Journal name Genome Medicine   Check publisher's open access policy
ISSN 1756-994X
Publication date 2013-07-26
Year available 2013
Sub-type Article (original research)
DOI 10.1186/gm468
Open Access Status File (Publisher version)
Volume 5
Issue 7
Start page 64.1
End page 64.2
Total pages 3
Place of publication London, United Kingdom
Publisher BioMed Central
Collection year 2014
Language eng
Formatted abstract
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.
Keyword Resources
Q-Index Code CX
Q-Index Status Confirmed Code
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: Non HERDC
Institute for Molecular Bioscience - Publications
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Citation counts: TR Web of Science Citation Count  Cited 2 times in Thomson Reuters Web of Science Article | Citations
Scopus Citation Count Cited 1 times in Scopus Article | Citations
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Created: Sun, 18 Aug 2013, 00:23:01 EST by System User on behalf of Institute for Molecular Bioscience