messina
"Messina" is a computational method designed to identify genes that exhibit aberrant expression patterns in only a subset of cancer cases. It addresses the diversity and complexity of morphologically similar cancers that may follow different clinical courses due to molecular heterogeneity. Traditional methods for analyzing expression profiling data may overlook such genes, potentially missing crucial molecular aberrations that define biologically relevant subtypes with significant implications for therapy.
The significance of Messina lies in its ability to complement existing methods by filling a critical gap in the analysis of global expression profiling data. It offers researchers a powerful tool to assist in identifying markers that define cancer subtypes.
Topic
Gene expression;Biomarkers;Biomedical science
Detail
Operation: Incident curve plotting;Differential gene expression analysis;Classification
Software interface: Command-line user interface,Library
Language: R
License: Eclipse Public License Version 1.0
Cost: Free
Version name: 1.38.0
Credit: The National Health and Medical Research Council of Australia, The Cancer Council NSW, the Cancer Institute NSW, the St Vincent's Clinic Foundation, the Royal Australasian College of Surgeons and the R. T. Hall Trust.
Input: Gene expression profile [Gene expression report format]
Output: Plot [Textual format] [Image format], Report [Textual format] [Image format]
Contact: Mark Pinese mpinese@ccia.org.au
Collection: -
Maturity: Stable
Publications
- Messina: a novel analysis tool to identify biologically relevant molecules in disease.
- Pinese M, et al. Messina: a novel analysis tool to identify biologically relevant molecules in disease. Messina: a novel analysis tool to identify biologically relevant molecules in disease. 2009; 4:e5337. doi: 10.1371/journal.pone.0005337
- https://doi.org/10.1371/journal.pone.0005337
- PMID: 19399185
- PMC: PMC2671167
Download and documentation
Source: https://bioconductor.org/packages/release/bioc/src/contrib/messina_1.38.0.tar.gz
Documentation: https://bioconductor.org/packages/release/bioc/manuals/messina/man/messina.pdf
Home page: http://bioconductor.org/packages/release/bioc/html/messina.html
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