* Your assessment is very important for improving the work of artificial intelligence, which forms the content of this project
RNA-Seq is a sequencing technique applied to transcript analysis by next-generation sequencing technology, and can be applied to the study of gene expression. Since the development of next-generation sequencing technology, RNA-Seq data are generally considered to have advantages over conventional microarray (microarray) gene expression data, including the large dynamic range of gene expression values and the low Of the background noise and other characteristics. Therefore, in recent years, high-throughput gene expression studies have changed from microarray technology to RNA-Seq technology. An important issue in high-throughput gene expression research is the clustering analysis of gene expression data. Gene Expression Data The purpose of clustering analysis is to cluster together genes with the same or similar functions. The main point is that genes with similar gene expression data patterns may have the same or similar function, or may be involved in some transcriptional regulation Network, the so-called Guilt-by-Association (GBA) principle (Oliver, 2000; Wolfe et al., 2005), the past major research is the microarray gene expression data cluster analysis.