Turku Centre for Biotechnology, University of Turku and Åbo Akademi University, Turku, Finland.
Department of Mathematics and Statistics, University of Turku, Turku, Finland.
PLoS One. 2018 Jul 5;13(7):e0199991. doi: 10.1371/journal.pone.0199991. eCollection 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.
通路分析是各种生物医学研究中常用的方法，但目前可用的通路工具通常不支持越来越流行的个性化分析。目前可用的通路方法的另一个弱点是，与自然个体变异相比，它们无法处理仅有适度基于组的效应的具有挑战性的数据。为了解决这些问题，本研究提出了一种新的通路方法 PASI（基于样本信息的通路分析），并展示了其在基因表达具有不同基于组差异水平的复杂疾病中的性能。PASI 可作为 R 包免费获得。
