Article

Annotation-Based Gene-Peak Links Improve Regulatory Network Prediction of Gene Expression in Human Kidney Multi-Omics

2026-06-17

Abstract excerpt

<h4>Background</h4> Linking distal regulatory elements to their target genes is a central problem for interpreting chromatin accessibility and other non-coding genomic data. Proximity-based mapping is convenient but ignores three-dimensional enhancer-promoter architecture and can misassign long-range regulatory effects. Correlation-based approaches can also miss regulatory links because of limited statistical pow...

Topics

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

Identifiers and source

Literature Corpus work: 6b459af7-e048-5b23-9ffb-fd87e5c58fd8
DOI: 10.64898/2026.06.12.731741

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Annotation-Based Gene-Peak Links Improve Regulatory Network Prediction of Gene Expression in Human Kidney Multi-OmicsDOI 10.64898/2026.06.12.731741Read

snATAC-Express infers Gene Expression from Prioritized Chromatin Accessibility Peaks using Machine LearningSemantic proximity Read

Integrative Comparison of GeneHancer and Single-Cell Co-accessibility Reveals Active Enhancer–Gene InteractionsSemantic proximity Read

Predicting enhancer-gene links from single-cell multi-omics data by integrating prior Hi-C informationSemantic proximity Read

MICA: A multi-omics method to predict gene regulatory networks in early human embryosSemantic proximity Read

Quality assessment and refinement of chromatin accessibility data using a sequence-based predictive modelSemantic proximity Read

Linkage: an interactive shiny app and R package for linking of DNA regulatory peaks to genesSemantic proximity Read

Complexity of enhancer networks predicts cell identity and disease genes revealed by single-cell multi-omics analysisSemantic proximity Read

Comprehensive enhancer-target gene assignments improve gene set level interpretation of genome-wide regulatory dataSemantic proximity Read

Efficient Inference of Direct Gene--Gene Associations via High-Dimensional Precision Matrix with Rigorous FDR ControlSemantic proximity Read

Integrated Functional Genomic Analysis Enables Annotation of Kidney Genome-Wide Association Study LociSemantic proximity Read

Linking regulatory variants to target genes by integrating single-cell multiome methods and genomic distance.Semantic proximity Read

Modeling Transcriptional Regulation Using Gene Regulatory Networks Based on Multi-Omics Data SourcesSemantic proximity Read