PASI: A novel pathway method to identify delicate group effects



: Maria K. Jaakkola, Aidan J. McGlinchey, Riku Klen, Laura L. Elo

Publisher: PUBLIC LIBRARY SCIENCE

: 2018

: PLoS ONE

: PLOS ONE

: PLOS ONE

: e0199991

: 13

: 7

: 13

: 1932-6203

DOI: https://doi.org/10.1371/journal.pone.0199991

: https://research.utu.fi/converis/portal/detail/Publication/32156420


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.

Last updated on 2024-26-11 at 18:59