ArticleGenome biology2007
Revealing signaling pathway deregulation by using gene expression signatures and regulatory motif analysis.
Article in Genome biology, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed.
- Gene expression patterns in transgenic mouse models of hypertrophic cardiomyopathy caused by mutations in myosin regulatory light chain.Archives of biochemistry and biophysics · 2016Article
- Deciphering Signaling Pathway Networks to Understand the Molecular Mechanisms of Metformin Action.PLoS computational biology · 2015Article
- Transcriptional data: a new gateway to drug repositioning?Drug discovery today · 2013Article
- Machine learning prediction of cancer cell sensitivity to drugs based on genomic and chemical properties.PloS one · 2013Article
- Genome-wide signatures of transcription factor activity: connecting transcription factors, disease, and small molecules.PLoS computational biology · 2013Article
- Relating protein adduction to gene expression changes: a systems approach.Molecular bioSystems · 2011Article
- BAYESIAN HIERARCHICAL MODELING FOR SIGNALING PATHWAY INFERENCE FROM SINGLE CELL INTERVENTIONAL DATA.The annals of applied statistics · 2011Article
- Comparative survival analysis of breast cancer microarray studies identifies important prognostic genetic pathways.BMC cancer · 2010Article
- MYCN/c-MYC-induced microRNAs repress coding gene networks associated with poor outcome in MYCN/c-MYC-activated tumors.Oncogene · 2010Article
- High Myc pathway activity and low stage of neuronal differentiation associate with poor outcome in neuroblastoma.Proceedings of the National Academy of Sciences of the United States of America · 2008Article
Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Gene expression signatures consisting of tens to hundreds of genes have been found to be informative for different biological states. Recently, many computational methods have been proposed for biological interpretation of such signatures. However, there is a lack of methods for identifying cell signaling pathways whose deregulation results in an observed expression signature. We present a strategy for identifying such signaling pathways and evaluate the strategy using six human and mouse gene expression signatures.
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Registered trials
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