VECTOR: A Framework to Identify and Quantify Structural Changes in Chromatin using Hi-C Data

Abstract excerpt

Hi-C and related 3C technologies capture 3D genome architecture by measuring contact frequencies between genomic loci. These contact maps are often sparse and noisy, making comparison across samples challenging. Traditional metrics such as Pearson’s correlation fail to capture their structural complexity. To address this, we present VECTOR (Von nEumann entropy deteCTiOn of stRuctural patterns), a novel framework t...

Topics

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• Chromatin
• Chromatin Immunoprecipitation Sequencing
• Databases, Factual
• Mental Disorders
• Mouse Embryonic Stem Cells
• Prefrontal Cortex
• Reproducibility of Results
• Single-Cell Analysis

Identifiers and source

Literature Corpus work

3dc571c5-ece9-5f02-8902-c248274419b1

DOI

10.1101/2025.09.24.678266