Differential cell signaling testing for cell-cell communication inference from single-cell data by dominoSignal

Authors

Amanda Poissonnier (ORCID: https://orcid.org/0000-0002-9027-1159)
Sushma Nagaraj (ORCID: https://orcid.org/0000-0001-5166-1309)
Jacob T. Mitchell (ORCID: https://orcid.org/0000-0002-5370-9692)
J.H. Elisseeff
Kavita Krishnan (ORCID: https://orcid.org/0000-0003-1345-0249)
Dmitrijs Lvovs (ORCID: https://orcid.org/0009-0003-2152-6853)
Orian Stapleton
Elizabeth M Jaffee
Christopher Cherry

Institutions

Human Genome Sciences (United States) (US)
University of Maryland, Baltimore (US)
Bloomberg (United States) (US)
Johns Hopkins University (US)
Oregon Health & Science University (US)
Johns Hopkins Medicine (US)
Johns Hopkins University Applied Physics Laboratory (US)
Sidney Kimmel Comprehensive Cancer Center (US)

Publication Details

Journal: Bioinformatics
Published: 2026-02-26
DOI: https://doi.org/10.1093/bioinformatics/btag089
Primary Topic: Single-cell and spatial transcriptomics
Type: article
Field-Weighted Citation Impact: 0.00

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article

Differential cell signaling testing for cell-cell communication inference from single-cell data by dominoSignal

Amanda Poissonnier, Sushma Nagaraj, Jacob T. Mitchell, J.H. Elisseeff et al.

Feb 26, 2026

Bioinformatics

Single-cell and spatial transcriptomics

article

Differential cell signaling testing for cell-cell communication inference from single-cell data by dominoSignal

Amanda Poissonnier, Sushma Nagaraj, Jacob T. Mitchell, J.H. Elisseeff, Kavita Krishnan, Dmitrijs Lvovs, Orian Stapleton, Elizabeth M Jaffee, Christopher Cherry

February 26, 2026article en

Abstract

No abstract available for this paper.

BioinformaticsVol. 42(3)

Human Genome Sciences (United States) (US), University of Maryland, Baltimore (US), Bloomberg (United States) (US), Johns Hopkins University (US), Oregon Health & Science University (US), Johns Hopkins Medicine (US), Johns Hopkins University Applied Physics Laboratory (US), Sidney Kimmel Comprehensive Cancer Center (US)

Quality Education

Openalex Percentile: Top 42%

Single-cell and spatial transcriptomics

DOI Open Access PDF OpenAlex

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