Computer Science ›› 2015, Vol. 42 ›› Issue (6): 37-40.doi: 10.11896/j.issn.1002-137X.2015.06.008

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Gene Microarray Data Classification Based on Intersecting Neighborhood Rough Set

MENG Jun, LI Rui and HAO Han   

  • Online:2018-11-14 Published:2018-11-14

Abstract: In the research of gene microarray data classification and feature selection,rough set theory is an effective tool,as it can eliminate redundant genes.However a drawback in traditional rough set is that it cannot handle with continuous numeric data well,and discretization method may lead to the loss of information.We proposed an attribute reduction algorithm based on intersecting neighborhood rough set,extended the distance neighborhood to intersecting neighborhood and employed the definition of approximation based on set,to build the rough set model.Experimental results on three cancer data sets show that the rough set model based on the set approximate and intersecting neighborhood is effective and efficient.Meanwhile,the analysis of GO terms on selected genes further proves the validity of the model.

Key words: Rough set,Intersecting neighborhood,Gene microarray data

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