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Study of gene data mining based on informatics theory / 中国医疗器械杂志
Article in Chinese | WPRIM | ID: wpr-342959
Responsible library: WPRO
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.
Subject(s)
Full text: Available Index: WPRIM (Western Pacific) Main subject: Algorithms / Artificial Intelligence / Classification / Gene Expression Profiling / Informatics / Data Mining / Genetics / Methods / Neoplasms Language: Chinese Journal: Chinese Journal of Medical Instrumentation Year: 2012 Type: Article

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Full text: Available Index: WPRIM (Western Pacific) Main subject: Algorithms / Artificial Intelligence / Classification / Gene Expression Profiling / Informatics / Data Mining / Genetics / Methods / Neoplasms Language: Chinese Journal: Chinese Journal of Medical Instrumentation Year: 2012 Type: Article