Supervised clustering of genes
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* Corresponding author: Marcel Dettling dettling@stat.math.ethz.ch
Genome Biology 2002, 3:research0069-research0069.15 doi:10.1186/gb-2002-3-12-research0069
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Cited by
BioMed Central: 4 citations
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Methodology article
A Population Proportion approach for ranking differentially expressed genes Mugdha Gadgil BMC Bioinformatics 2008, 9:380 (18 September 2008) |
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Research
A stable iterative method for refining discriminative gene clusters Min Xu, Mengxia Zhu, Louxin Zhang BMC Genomics 2008, 9(Suppl 2):S18 (16 September 2008) |
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Methodology article
Gene selection for classification of microarray data based on the Bayes error Ji-Gang Zhang, Hong-Wen Deng BMC Bioinformatics 2007, 8:370 (3 October 2007) |
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Software
Multiclass classification of microarray data with repeated measurements: application to cancer Ka Yeung, Roger E Bumgarner Genome Biology 2003, 4:R83 (24 November 2003) Prediction of the diagnostic category of a tissue sample from its gene-expression profile and selection of relevant genes for class prediction have important applications in cancer research. Uncorrelated shrunken centroid and error-weighted, uncorrelated shrunken centroid algorithms have been developed that are applicable to microarray data with any number of classes. |
