Discriminative local subspaces in gene expression data for effective gene function prediction
نویسندگان
چکیده
منابع مشابه
Discriminative local subspaces in gene expression data for effective gene function prediction
MOTIVATION Massive amounts of genome-wide gene expression data have become available, motivating the development of computational approaches that leverage this information to predict gene function. Among successful approaches, supervised machine learning methods, such as Support Vector Machines (SVMs), have shown superior prediction accuracy. However, these methods lack the simple biological in...
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ژورنال
عنوان ژورنال: Bioinformatics
سال: 2012
ISSN: 1460-2059,1367-4803
DOI: 10.1093/bioinformatics/bts455