GEEES: inferring cell-specific gene–enhancer interactions from multi-modal single-cell data

Authors

Sündüz Keleş (ORCID: https://orcid.org/0000-0001-9048-0922)
Shuyang Chen (ORCID: https://orcid.org/0000-0002-4760-4106)

Institutions

University of Wisconsin–Madison (US)

Publication Details

Journal: Bioinformatics
Published: 2024-10-28
DOI: https://doi.org/10.1093/bioinformatics/btae638
Citations: 1
Primary Topic: Single-cell and spatial transcriptomics
Type: article
Field-Weighted Citation Impact: 0.23

Funders

National Institutes of Health

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article

GEEES: inferring cell-specific gene–enhancer interactions from multi-modal single-cell data

Sündüz Keleş, Shuyang Chen

Oct 28, 2024

1 citations

Bioinformatics

Single-cell and spatial transcriptomics

0.23

article

GEEES: inferring cell-specific gene–enhancer interactions from multi-modal single-cell data

Sündüz Keleş, Shuyang Chen

October 28, 2024article en

1 citations

Abstract

No abstract available for this paper.

BioinformaticsVol. 40(11)

University of Wisconsin–Madison (US)

National Institutes of Health

Openalex Percentile: Top 41%

Single-cell and spatial transcriptomics

0.23

DOI Open Access PDF OpenAlex

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GEEES: inferring cell-specific gene–enhancer interactions from multi-modal single-cell data — Sündüz Keleş, Shuyang Chen · Bioinformatics (2024) | TGRS Research Map | TGRS