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Transcript
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.