ArticlePloS one2018
PASI: A novel pathway method to identify delicate group effects.
Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
2 citing papers in PubMed.
- Longitudinal pathway analysis using structural information with case studies in early type 1 diabetes.Scientific reports · 2025Article
- Gene set enrichment for reproducible science: comparison of CERNO and eight other algorithms.Bioinformatics (Oxford, England) · 2019Article
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Authors and funding
4 authors.
Funding
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Abstract
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.
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Registered trials
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