Genes@Work: an efficient algorithm for pattern discovery and multivariate feature selection in gene expression data
نویسندگان
چکیده
منابع مشابه
Genes@Work: an efficient algorithm for pattern discovery and multivariate feature selection in gene expression data
MOTIVATION Despite the growing literature devoted to finding differentially expressed genes in assays probing different tissues types, little attention has been paid to the combinatorial nature of feature selection inherent to large, high-dimensional gene expression datasets. New flexible data analysis approaches capable of searching relevant subgroups of genes and experiments are needed to und...
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ژورنال
عنوان ژورنال: Bioinformatics
سال: 2004
ISSN: 1367-4803,1460-2059
DOI: 10.1093/bioinformatics/bth035