ANALYSIS OF DIFFERENTIAL GENE EXPRESSION LEVELS BASED ON RNA-SEQ

Wenyan Jiang

Abstract


In the research of life science, bioinformatics has become the main direction of current research, mainly in the aspects of gene expression analysis, genomics and so on. With the development of the RNA-Seq technique, we have made a breakthrough in the biotechnology, and on the basis of the expression level of the RNA-Seq data, the data is getting bigger and more and more and more, and the accuracy of the gene expression level is improved by the method of clustering. In this paper, four clustering algorithms are introduced, and the clustering algorithm with relatively good performance is compared.


 


Keywords


-RNA-Seq, clustering, K-mean, Louvain

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References


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