BootRanges: flexible generation of null sets of genomic ranges for hypothesis testing.

ABSTRACT:

Motivation

Enrichment analysis is a widely utilized technique in genomic analysis that aims to determine if there is a statistically significant association between two sets of genomic features. To conduct this type of hypothesis testing, an appropriate null model is typically required. However, the null distribution that is commonly used can be overly simplistic and may result in inaccurate conclusions.

Results

bootRanges provides fast functions for generation of block bootstrapped genomic ranges representing the null hypothesis in enrichment analysis. As part of a modular workflow, bootRanges offers greater flexibility for computing various test statistics leveraging other Bioconductor packages. We show that shuffling or permutation schemes may result in overly narrow test

SUBMITTER: Mu W 

PROVIDER: S-EPMC10159650 | biostudies-literature | 2023 May

REPOSITORIES: biostudies-literature