期刊名称：International Journal of Computer Science and Information Technologies
电子版ISSN：0975-9646
出版年度：2016
卷号：7
期号：5
页码：2235-2239
出版社：TechScience Publications
摘要：Senescence is the gradual degeneration of functioncharacteristic of most complex life forms. Bioinformatics is amultidisciplinary research that combines biology, computerscience, mathematics and statistics into a general field that willhave erudite percussion on all fields of life sciences. In thispaper, considering the senescence data gathered from fourmodel organisms which are lumbricina (worm),saccharomyces (yeast), diptera (fly), and mus (mouse). Byapplying the classification methods like Naïve Bayes, 1-NearestNeighbour, it gives less efficiency. To increase the efficiency,new attribute selection methods are proposed which uses theSupport Vector Machine (SVM) algorithm to organize thesenescence-related data. The intention of these hierarchicalattribute selection methods which uses the SVM algorithm, toorganize organism genes into either anti-longevity or prolongevitygenes that gives the better results than with the useof Naïve Bayes algorithm.
关键词：Senescence; classification; attribute selection;naive bayes; 1-nearest neighbour; support vector machine
