title: IFGFA: Identification of featured genes from genomic data using factor analysis.
abstract: In this study, a software tool (IFGFA) for identification of featured genes from gene expression data based on latent factor analysis was developed. Despite the availability of computational methods and statistical models appropriate for analyzing special genomic data, IFGFA provides a platform for predicting colon cancer-related genes and can be applied to other cancer types. The computational framework behind IFGFA is based on the well-established Bayesian factor and regression model and prior knowledge about the gene from OMIM. We validated the predicted genes by analyzing somatic mutations in patients. An interface was developed to enable users to run the computational framework efficiently through visual programming. IFGFA is executable in a Windows system and does not require other dependent software packages. This program can be freely downloaded at http://www.fupage.org/downloads/ifgfa.zip.
authors.affiliation: School of Mathematics and Computational Science, Xiangtan University, Xiangtan, China.|School of Mathematics and System Science, Shenyang Normal University, Shenyang, China.
authors.forename: C H
authors.initials: CH
authors.lastname: Fu
authors.affiliation: School of Mathematics and System Science, Shenyang Normal University, Shenyang, China.
authors.forename: S
authors.initials: S
authors.lastname: Deng
authors.affiliation: Foreign Language Department, Shenyang Normal University, Shenyang, China.
authors.forename: J H
authors.initials: JH
authors.lastname: Wu
authors.affiliation: School of Mathematics and Computational Science, Xiangtan University, Xiangtan, China.
authors.forename: X Q
authors.initials: XQ
authors.lastname: Wu
authors.affiliation: School of Mathematics and System Science, Shenyang Normal University, Shenyang, China.
authors.forename: Z H
authors.initials: ZH
authors.lastname: Fu
authors.affiliation: School of Mathematics and Computational Science, Xiangtan University, Xiangtan, China yuzg@xtu.edu.cn.
authors.forename: Z G
authors.initials: ZG
authors.lastname: Yu
mesh_terms: D000465:Algorithms; D001499:Bayes Theorem; D003110:Colonic Neoplasms / Q000175:diagnosis / Q000235:genetics; D019295:Computational Biology / Q000379:methods; D005163:Factor Analysis, Statistical; D020869:Gene Expression Profiling / Q000379:methods*; D006801:Humans; D020411:Oligonucleotide Array Sequence Analysis / Q000379:methods; D017422:Sequence Analysis, DNA / Q000379:methods; D012984:Software; D059467:Transcriptome