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Network meta-analysis correlates with analysis of merged independent transcriptome expression data.

Christine WinterRobin KoschMartin LudlowAlbert D M E OsterhausKlaus Jung
Published in: BMC bioinformatics (2019)
Network meta-analysis is a useful means to make new inferences when combining multiple independent studies of molecular, high-throughput expression data. This method is especially advantageous when batch effects between studies are hard to get removed.
Keyphrases
  • case control
  • systematic review
  • poor prognosis
  • high throughput
  • meta analyses
  • electronic health record
  • big data
  • single cell
  • binding protein
  • randomized controlled trial
  • deep learning