A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä
PASI: A novel pathway method to identify delicate group effects
Tekijät: Maria K. Jaakkola, Aidan J. McGlinchey, Riku Klen, Laura L. Elo
Kustantaja: PUBLIC LIBRARY SCIENCE
Julkaisuvuosi: 2018
Journal: PLoS ONE
Tietokannassa oleva lehden nimi: PLOS ONE
Lehden akronyymi: PLOS ONE
Artikkelin numero: e0199991
Vuosikerta: 13
Numero: 7
Sivujen määrä: 13
ISSN: 1932-6203
DOI: https://doi.org/10.1371/journal.pone.0199991
Rinnakkaistallenteen osoite: https://research.utu.fi/converis/portal/detail/Publication/32156420
Tiivistelmä
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.
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.
Ladattava julkaisu This is an electronic reprint of the original article. |  |
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