The misuse of distributional assumptions in functional class scoring gene-set and pathway analysis.

ABSTRACT: Gene-set analysis (GSA) is a standard procedure for exploring potential biological functions of a group of genes. The development of its methodology has been an active research topic in recent decades. Many GSA methods, when newly proposed, rely on simulation studies to evaluate their performance with an implicit assumption that the multivariate expression values are normally distributed. This assumption is commonly adopted in GSAs, particularly those in the group of functional class scoring (FCS) methods. The validity of the normality assumption, however, has been disputed in several studies, yet no systematic analysis has been carried out to assess the effect of this distributional assumption. Our goal in this study is not to propose a new GSA method but to first examine if the multi-dim

SUBMITTER: Ho CH 

PROVIDER: S-EPMC8728032 | biostudies-literature | 2022 Jan

REPOSITORIES: biostudies-literature