A unified hypothesis-free feature extraction framework for diverse epigenomic data.

ABSTRACT:

Motivation

Epigenetic assays using next-generation sequencing have furthered our understanding of the functional genomic regions and the mechanisms of gene regulation. However, a single assay produces billions of data points, with limited information about the biological process due to numerous sources of technical and biological noise. To draw biological conclusions, numerous specialized algorithms have been proposed to summarize the data into higher-order patterns, such as peak calling and the discovery of differentially methylated regions. The key principle underlying these approaches is the search for locally consistent patterns.

Results

We propose L0 segmentation as a universal framework for extracting locally coherent signals for diverse epigenetic sources. L0 serves t

SUBMITTER: Balcı AT 

PROVIDER: S-EPMC11897706 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature