Whole transcriptomic network analysis using co-expression differential network analysis (codina)

HIGHLIGHTS

• who: Deisy Morselli Gysi et al. from the Department of Computer Science, Leipzig University, Leipzig, Germany, Fundação Cesgranrio, Rio have published the article: Whole transcriptomic network analysis using Co-expression Differential Network Analysis (CoDiNA), in the Journal: PLOS ONE of 31/01/2020
• what: The authors compare expression data from active tuberculosis (TB) patients with or without HIV. In another application, the authors compare three glioma cancer types to understand commonalities and differences in their molecular signatures. The authors make a descriptive comparison, so that the researcher can decide on the best and most . . .
  

   

  

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