Messina: A Novel Analysis Tool to Identify Biologically Relevant Molecules in Disease

Morphologically similar cancers display heterogeneous patterns of molecular aberrations and follow substantially different clinical courses. This diversity has become the basis for the definition of molecular phenotypes, with significant implications for therapy. Microarray or proteomic expression p...

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Vydáno v:	PloS one Ročník 4; číslo 4; s. e5337
Hlavní autoři:	Pinese, Mark, Scarlett, Christopher J., Kench, James G., Colvin, Emily K., Segara, Davendra, Henshall, Susan M., Sutherland, Robert L., Biankin, Andrew V.
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	United States Public Library of Science 28.04.2009 Public Library of Science (PLoS)
Témata:	Aberration Algorithms Artificial intelligence Bayesian analysis Biochemistry/Bioinformatics Bioinformatics Cancer Cell Biology/Gene Expression Chemotactic Factors - metabolism Computational Biology/Transcriptional Regulation Data processing Databases, Genetic DNA microarrays Experiments Gene Expression Gene Expression Profiling - statistics & numerical data Genes Genetic Markers Genetic Techniques - statistics & numerical data Genetics and Genomics/Bioinformatics Genetics and Genomics/Cancer Genetics Genetics and Genomics/Gene Expression Genomics Humans Identification methods Immunohistochemistry Markers Mathematics/Algorithms Medical diagnosis Medical research Molecular biology Molecular Biology/Bioinformatics Neoplasms - genetics Neoplasms - metabolism Oligonucleotide Array Sequence Analysis - statistics & numerical data Pancreatic cancer Pancreatic Neoplasms - genetics Prostate cancer Protein Array Analysis - statistics & numerical data S100 Proteins - metabolism Sensitivity and Specificity Software Transcription factors Australia New South Wales Australia
ISSN:	1932-6203, 1932-6203
On-line přístup:	Získat plný text
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