RPCMP: robust p-value combination by multiple partitions with applications to ATAC-seq data.

ABSTRACT:

Background

Evaluating the significance for a group of genes or proteins in a pathway or biological process for a disease could help researchers understand the mechanism of the disease. For example, identifying related pathways or gene functions for chromatin states of tumor-specific T cells will help determine whether T cells could reprogram or not, and further help design the cancer treatment strategy. Some existing p-value combination methods can be used in this scenario. However, these methods suffer from different disadvantages, and thus it is still challenging to design more powerful and robust statistical method.

Results

The existing method of Group combined p-value (GCP) first partitions p-values to several groups using a set of several truncation points, but the meth

SUBMITTER: Cai M 

PROVIDER: S-EPMC6311921 | biostudies-literature | 2018 Dec

REPOSITORIES: biostudies-literature