Abstract:
In a medical problem, investigation of powerful new tools is involved in essential role of high-throughput sequencing technologies. Microarray data sequencers produced a large and complex sets of data for the advancement of computational and statistical methods are appliance in the data analysis of medical area. In recent years, the researchers have processed on different methods that can accurately come out the gene expression on microarray data. In this paper, the several normalization algorithms for the analysis of RNA-seq differential data with differential species values are reviewed. Based on the studies, we present the reviews of normalization algorithms according their data nature to get the accurate data for building effective model.
