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Probabilistic prioritization of candidate pathway association with pathway score.

Shu-Ju LinTzu-Pin LuQi-You YuChuhsing Kate Hsiao
Published in: BMC bioinformatics (2018)
The proposed summary pathway score provides for each sample an overall evaluation of gene expression in a gene-set. It demonstrates the advantages of including all genes in the set and the synchronization of correlation direction. The simultaneous utilization of all pathway-level scores in a Bayesian model not only offers a probabilistic evaluation and ranking of the pathway association but also presents good accuracy in identifying the top-ranking pathways. The resulting recommendation list of ranked pathways can be a reference for potential target therapy or for future allocation of research resources.
Keyphrases
  • gene expression
  • dna methylation
  • risk assessment
  • climate change
  • bone marrow
  • human health
  • replacement therapy