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PathCORE-T: identifying and visualizing globally co-occurring pathways in large transcriptomic compendia.

Kathleen M ChenJie TanGregory P WayGeorgia DoingDeborah Ann HoganCasey S Greene
Published in: BioData mining (2018)
The PathCORE-T framework identifies transcriptionally co-occurring pathways from the results of unsupervised analysis of gene expression data and visualizes the relationships between pathways as a network. PathCORE-T recapitulated previously described pathway-pathway relationships and suggested experimentally testable additional hypotheses that remain to be explored.
Keyphrases
  • gene expression
  • machine learning
  • dna methylation
  • genome wide
  • single cell