PASI: A novel pathway method to identify delicate group effects

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...

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Bibliographic Details
Published in:PloS one 2018-07, Vol.13 (7), p.e0199991-e0199991
Main Authors: Jaakkola, Maria K, McGlinchey, Aidan J, Klén, Riku, Elo, Laura L
Format: Article
Language:English
Subjects:
Analysis
Arthritis
Asthma
Biology and Life Sciences
Biotechnology
Computational Biology - methods
Datasets
Diabetes
Disease
Gene expression
Group effects
Kinases
Leukemia
Medical diagnosis
Medical research
Medicine and Health Sciences
Methods
Precision Medicine
Sample Size
Studies
Uncertainty
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Summary: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.
ISSN:1932-6203
1932-6203
DOI:10.1371/journal.pone.0199991