Composition of Feature Relevancy Based Biomarker Gene Selection in Gene Expression Dataset
M. Pyingkodi*,
Dr. S. Shanthi
Abstract:Cancer gene selection plays a prominent work in the area of Bioinformatics. Gene selection methods aim to retain relevant genes and remove redundant genes. This proposed technique deals on gene selection techniques based on information theory. By investigating the information theory based on composition of feature relevancy, we consider that a excellent gene technique method could boost novel classification of the cancer gene data while reducing gene redundancy. Therefore, a modified gene selection technique c… Show more
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