Fast Gene Ontology based clustering for microarray experiments
نویسندگان
چکیده
منابع مشابه
Distance based Inference for Gene-Ontology Analysis of Microarray Experiments
The increasing availability of high throughput data arising from gene expression studies leads to the necessity of methods for summarizing the available information. As annotation quality improves it is becoming common to rely on the Gene Ontology (GO) to build functional profiles that characterize a set of genes using the frequency of use of each GO term or group of terms in the array. In this...
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Marker gene selection has been an important research topic in the classification analysis of gene expression data. Current methods try to reduce the "curse of dimensionality" by using statistical intra-feature set calculations, or classifiers that are based on the given dataset. In this paper, we present SoFoCles, an interactive tool that enables semantic feature filtering in microarray classif...
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ژورنال
عنوان ژورنال: BioData Mining
سال: 2008
ISSN: 1756-0381
DOI: 10.1186/1756-0381-1-11