Bayesian automatic relevance determination algorithms for classifying gene expression data
نویسندگان
چکیده
منابع مشابه
Ayesian Automatic Relevance Determination Algorithms for Classifying Gene Expression Data
MOTIVATION We investigate two new Bayesian classification algorithms incorporating feature selection. These algorithms are applied to the classification of gene expression data derived from cDNA microarrays. RESULTS We demonstrate the effectiveness of the algorithms on three gene expression datasets for cancer, showing they compare well with alternative kernel-based techniques. By automatical...
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ژورنال
عنوان ژورنال: Bioinformatics
سال: 2002
ISSN: 1367-4803,1460-2059
DOI: 10.1093/bioinformatics/18.10.1332