Hybrid method, a new way for selecting specific genes related to gastric cancer genesis - 文章详情页

作者：

Li, Jian-Geng (Li, Jian-Geng.) | Li, Ping (Li, Ping.) | Ruan, Xiao-Gang (Ruan, Xiao-Gang.)

收录：

EI Scopus PKU CSCD

摘要：

In　the　present　paper,　we　present　a　new　way,　named　hybrid　method,　for　selecting　specific　genes　from　a　gastric　cancer　dataset　of　29　samples　from　Japan.　Finally,　10　related　genes　have　been　picked　out　and　2　of　them　are　found　to　be　the　same　with　the　reported　by　Kim＇.　The　hybrid　method　combines　the　advantages　of　both　filter　and　wrapper　method　in　feature　selection.　In　the　last,　we　employ　the　support　vector　machine　(SVM),　artificial　neural　network　(ANN)　and　K-nearest　neighbors　(KNN)　to　evaluate　the　validity　of　our　selected　genes,　which　indicates　that　it　is　effective.

关键词：

Diseases Feature extraction Gene expression Motion compensation Nearest neighbor search Neural networks Support vector machines

作者机构：

[ 1 ] [Li, Jian-Geng]College of Electronic Information and Control Engineering, Beijing University of Technology, Beijing 100124, China
[ 2 ] [Li, Ping]College of Electronic Information and Control Engineering, Beijing University of Technology, Beijing 100124, China
[ 3 ] [Ruan, Xiao-Gang]College of Electronic Information and Control Engineering, Beijing University of Technology, Beijing 100124, China

通讯作者信息：

电子邮件地址：

查看成果更多字段

成果类型
所属机构

所有年份指定年份从至