%0 Journal Article
%T Soft computing application in bioinformatics
%A MITRA Sushmita
%A <br>MITRA
%A Sushmita
%J 重庆邮电大学学报(自然科学版)
%D 2008
%I 
%X This article provides an outline on a recent application of soft computing for the mining of microarray gene expres-sions. We describe investigations with an evolutionary-rough feature selection algorithm for feature selection and classifica-tion on cancer data. Rough set theory is employed to generate reducts, which represent the minimal sets of non-redundant eatures capable of discerning between all objects, in a multi-objective framework. The experimental results demonstrate the ffectiveness of the methodology on three cancer datasets.
%K soft computing mieroarray gene expressions
%K multi-objecive framework
%K hioinfor mation<br>soft
%K computing
%K microarray
%K gene
%K expressions
%K multiobjecive
%K framework
%K bioinfor
%K mation
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=01BA20E8BA813E1908F3698710BBFEFEE816345F465FEBA5&cid=96E6E851B5104576C2DD9FC1FBCB69EF&jid=5C2694A2E5629ECD6B59D7B28C6937AD&aid=FF286144B8475AEA9A3DA5D80B9C8D06&yid=67289AFF6305E306&vid=A04140E723CB732E&iid=38B194292C032A66&sid=375BEEEA164CFE59&eid=0954045FA0C6885F&journal_id=1673-825X&journal_name=重庆邮电大学学报(自然科学版)&referenced_num=0&reference_num=15