Unicorn: enhancing single-cell Hi-C data with blind super-resolution for 3D genome structure reconstruction.

ABSTRACT:

Motivation

Single-cell Hi-C (scHi-C) data provide critical insights into chromatin interactions at individual cell levels, uncovering unique genomic 3D structures. However, scHi-C datasets are characterized by sparsity and noise, complicating efforts to accurately reconstruct high-resolution chromosomal structures. In this study, we present ScUnicorn, a novel blind super-resolution framework for scHi-C data enhancement. ScUnicorn uses an iterative degradation kernel optimization process, unlike traditional super-resolution approaches, which rely on downsampling, predefined degradation ratios, or constant assumptions about the input data to reconstruct high-resolution interaction matrices. Hence, our approach more reliably preserves critical biological patterns and minimizes noise.

SUBMITTER: Chandrashekar MKB 

PROVIDER: S-EPMC12261411 | biostudies-literature | 2025 Jul

REPOSITORIES: biostudies-literature