Applying rule classifiers in predicting trait from genetic variants

Current development in biological sciences and data sharing have contributed a lot of advantages by increasing the number of research in computer sciences. These researches could manipulate environmental and genetic factors that influence and increase the risk to diseases. Genome wide association studies (GWAS) are the studies that exploit genetic factor which is genetic variant. Normally the study is conducted in different populations and currently, gained so much attention by Asian researchers. Due to the importance of accessing and efficient method to process the genome wide data, thorough experiment should be done in different problem. This paper presents comparison study on rule classifiers application in genome wide data. These methods contain great potential for genomics data as application in the future.