Article

Computational reconstruction of hierarchical cis-regulatory networks reveals synergistic transcription control and disease-associated rewiring

2026-06-26

Abstract excerpt

Gene regulation emerges from coordinated interactions among dispersed cis-regulatory elements, yet how these elements integrate into functional regulatory networks and collectively regulate gene transcription remains poorly understood. Here, we present ORIGAMI, a multi-omics, gene-centric deep learning framework that reconstructs functional cis-regulatory networks constrained by transcriptional output. ORIGAMI for...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 4ffea712-067e-559c-9209-e2f648c9c674
DOI: 10.64898/2026.06.24.734159

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Computational reconstruction of hierarchical cis-regulatory networks reveals synergistic transcription control and disease-associated rewiringDOI 10.64898/2026.06.24.734159Read

scGRIP: a graph-based explainable AI framework for single-cell multi-omics Gene Regulatory Inference with Prior KnowledgeSemantic proximity Read

Cell type-specific prediction of 3D chromatin organization enables high-throughput <i>in silico</i> genetic screeningSemantic proximity Read

STARNet enables spatially resolved inference of gene regulatory networks from spatial multi-omics dataSemantic proximity Read

Dictys: dynamic gene regulatory network dissects developmental continuum with single-cell multi-omicsSemantic proximity Read

Decomposing multi-scale dynamic regulation from single-cell multiomics with scMagnifySemantic proximity Read

Connecting high-resolution 3D chromatin organization with epigenomicsSemantic proximity Read

Learning sequence-based regulatory dynamics in single-cell genomicsSemantic proximity Read

Dynamic Network Analysis of the 4D NucleomeSemantic proximity Read

A Chromatin-Structure-Guided Framework for Predictive and Interpretable Regulatory GenomicsSemantic proximity Read

Single-cell multi-omic velocity infers dynamic and decoupled gene regulationSemantic proximity Read

Continuous lifelong learning for modeling of gene regulation from single cell multiome data by leveraging atlas-scale external dataSemantic proximity Read