Inferring circadian gene regulatory relationships from gene expression data with a hybrid framework.

ABSTRACT:

Background

The central biological clock governs numerous facets of mammalian physiology, including sleep, metabolism, and immune system regulation. Understanding gene regulatory relationships is crucial for unravelling the mechanisms that underlie various cellular biological processes. While it is possible to infer circadian gene regulatory relationships from time-series gene expression data, relying solely on correlation-based inference may not provide sufficient information about causation. Moreover, gene expression data often have high dimensions but a limited number of observations, posing challenges in their analysis.

Methods

In this paper, we introduce a new hybrid framework, referred to as Circadian Gene Regulatory Framework (CGRF), to infer circadian gene regulatory

SUBMITTER: Hu S 

PROVIDER: S-EPMC10521455 | biostudies-literature | 2023 Sep

REPOSITORIES: biostudies-literature