Identi fi cation of differentially expressed genes at the single-cell level and prognosis prediction through bulk rna sequencing data in breast cancer

HIGHLIGHTS

  • who: . and collaborators from the Bezmiu00e2lem Vaku0131f u00dcniversitesi, Turkey Amrita Vishwa Vidyapeetham University have published the research: Identi fi cation of differentially expressed genes at the single-cell level and prognosis prediction through bulk RNA sequencing data in breast cancer, in the Journal: (JOURNAL)
  • what: Hereby, in this study, the authors attempted to afford a means to integrate data from these two dimensions.
  • how: The authors conducted principal component analysis (PCA) to reduce the dimensions of the data. Considering the differences of immune-related pathways through GSEA the authors calculated the immune infiltration . . .

     

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