Gene expression analysis to mine highly relevant gene data in chronic diseases and annotating its go terms

HIGHLIGHTS

  • who: J. Briso Becky Bell et al. from the Kumaracoil-629180, TN, India have published the Article: Gene Expression Analysis to Mine Highly Relevant Gene Data in Chronic Diseases and Annotating its GO Terms, in the Journal: (JOURNAL)
  • what: The paper proposes a software platform for the investigation of RGIN information enhanced with gene ontology learning.

SUMMARY

    May comprise of, individually, a set of genes that interact with the gene or that are space k from the seed gene, or the set of every interactions. Clustering is one of the unsupervised . . .

     

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