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PASI: A novel pathway method to identify delicate group effects.

Maria K JaakkolaAidan J McGlincheyRiku KlénLaura L Elo
Published in: PloS one (2018)
Pathway analysis is a common approach in diverse biomedical studies, yet the currently-available pathway tools do not typically support the increasingly popular personalized analyses. Another weakness of the currently-available pathway methods is their inability to handle challenging data with only modest group-based effects compared to natural individual variation. In an effort to address these issues, this study presents a novel pathway method PASI (Pathway Analysis for Sample-level Information) and demonstrates its performance on complex diseases with different levels of group-based differences in gene expression. PASI is freely available as an R package.
Keyphrases
  • gene expression
  • healthcare
  • dna methylation
  • machine learning
  • electronic health record
  • social media
  • data analysis