title: [Study of gene data mining based on informatics theory].
abstract: By combining with informatics theory, ta system model consisting of feature selection which is based on redundancy and correlation is presented to develop disease classification research with five gene data set (NCI, Lymphoma, Lung, Leukemia, Colon). The result indicates that this modeling method can not only reduce data management computation amount, but also help confirming amount of features, further more improve classification accuracy, and the application of this model has a bright foreground in fields of disease analysis and individual treatment project establishment.
authors.affiliation: Biomedical Engineering Laboratory, Medical Engineering Support Center, Chinese PLA (People's Liberation Army) General Hospital, Beijing 100853.
authors.forename: Qing
authors.initials: Q
authors.lastname: Ang
authors.forename: Weidong
authors.initials: W
authors.lastname: Wang
authors.forename: Guojing
authors.initials: G
authors.lastname: Wang
authors.forename: Fulai
authors.initials: F
authors.lastname: Peng
mesh_terms: D000465:Algorithms; D001185:Artificial Intelligence; D057225:Data Mining; D020869:Gene Expression Profiling / Q000379:methods*; D048088:Informatics; D009369:Neoplasms / Q000145:classification / Q000235:genetics