Colon cancer (CC) pathological staging fails to accurately predict recurrence, and to date, no gene expression signature has proven reliable for prognosis stratification in clinical practice, perhaps because CC is a heterogeneous disease. The aim of this study was to establish a comprehensive molecular classification of CC based on mRNA expression profile analyses.
Pubmed ID: 23700391 RIS Download
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View all literature mentionsFunctional genomics data repository supporting MIAME-compliant data submissions. Includes microarray-based experiments measuring the abundance of mRNA, genomic DNA, and protein molecules, as well as non-array-based technologies such as serial analysis of gene expression (SAGE) and mass spectrometry proteomic technology. Array- and sequence-based data are accepted. Collection of curated gene expression DataSets, as well as original Series and Platform records. The database can be searched using keywords, organism, DataSet type and authors. DataSet records contain additional resources including cluster tools and differential expression queries.
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View all literature mentionsAdjusting batch effects in microarray expression data using Empirical Bayes methods.
View all literature mentionsSoftware R package of functions and classes for the analysis of oligonucleotide arrays manufactured by Affymetrix. Used to process probe level data and for exploratory oligonucleotide array analysis.
View all literature mentionsFederal government agency for cancer research and training established in 1937. National Cancer Program is responsibility of NCI to coordinate, conduct and support research, training, health information dissemination with respect to cause, diagnosis, prevention, and treatment of cancer, rehabilitation from cancer, and continuing care of cancer patients and families of cancer patients. Supports construction of laboratories, clinics, and related facilities necessary for cancer research through award of grants.
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