Download A Platform for Cluster Analysis of Next

A Platform for Cluster Analysis of
Next-Generation Sequencing RNA-Seq Data
The purpose of gene expression data clustering analysis is clustered genes with the
same or similar functions to help explore the gene function and regulatory network.
The past is mainly based on microarray gene expression data, in recent years due to
the development of next-generation sequencing technology. Transcriptome
sequencing (RNA-Seq) data have many advantages over conventional microarray
technology to obtain the gene expression data.So ,many clustering analysis
use the gene expression data generated by the RNA-Seq data, among them, the
probability distribution model will get better clustering results.Besides,functional
information or knowledge (for example, gene semantic similarity) of genes involved
in the clustering is also improved for gene function correlation of the grouping results.
Therefore, the development of a set of RNA-Seq clustering analysis platform based
on probabilistic model method and gene semantic similarity is very helpful to study
the clustering analysis of the second generation transcript sequence data.