Network-based enrichment analysis of gene expression through protein-protein interaction data

High-throughput analysis of gene expression data is subject to technological and statistical issues that confuse the underlying expression-condition associations. In this contribution a network-based candidate gene prioritization strategy was applied to the enrichment of a publicly available gene ex...

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Bibliographic Details
Published in2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society Vol. 2012; pp. 6317 - 6320
Main Authors Massanet-Vila, R., Fernandez Albert, Francesc, Caminal, P., Perera, A.
Format Conference Proceeding Journal Article
LanguageEnglish
Published United States IEEE 01.01.2012
Subjects
Bioinformatics
Cancer
Databases, Protein
Gene expression
Gene Expression Profiling
Humans
Lungs
Protein Binding
Proteins
Proteins - metabolism
Tumors
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Summary:High-throughput analysis of gene expression data is subject to technological and statistical issues that confuse the underlying expression-condition associations. In this contribution a network-based candidate gene prioritization strategy was applied to the enrichment of a publicly available gene expression dataset, focused on the study of the mechanosensitivity of genes exposed to altered pulmonary matrix stiffness. Results suggested that some genes which had not been taken into account in the original study could have an important role in the processes causing, or affected by, pulmonary fibrosis.
ISBN:1424441196
9781424441198
ISSN:1094-687X
1557-170X
DOI:10.1109/EMBC.2012.6347438