title: Proposal of new gene filtering method, BagPART, for gene expression analysis with small sample.
abstract: A significant problem in gene expression analysis is that the sample size is substantially lower than the number of genes. Bagging is an effective method of solving this problem in the case of small sample datasets. We have devised a combination method, called the BagPART filtering method, that uses the projective adaptive resonance theory (PART) to select important genes and achieve a binary classification more accurately (p<10(-10)) than conventional methods, particularly when the sample size is small.
authors.affiliation: Department of Biotechnology, School of Engineering, Nagoya University, Nagoya, Japan.
authors.forename: Takashi
authors.initials: T
authors.lastname: Kawamura
authors.forename: Hiro
authors.initials: H
authors.lastname: Takahashi
authors.forename: Hiroyuki
authors.initials: H
authors.lastname: Honda
mesh_terms: D003110:Colonic Neoplasms / Q000235:genetics; D005260:Female; D020869:Gene Expression Profiling; D006801:Humans; D008297:Male; D008432:Mathematical Computing; D008722:Methods; D011471:Prostatic Neoplasms / Q000235:genetics