Reconstructing and comparing signal transduction networks from single-cell protein quantification data

The code used for scCNR in this study has been deposited on Zenodo https://doi.org/10.5281/zenodo.17600937 and is also available as a Python module at https://github.com/ibivu/scmra. Additionally, data and code to reproduce all figures is available at https://github.com/tstohn/scmra_analysis.

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Publication Details

Journal
Bioinformatics
Published
2025-12-18
DOI
https://doi.org/10.1093/bioinformatics/btaf675
Primary Topic
Single-cell and spatial transcriptomics
Type
article
Field-Weighted Citation Impact
0.00

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article

Reconstructing and comparing signal transduction networks from single-cell protein quantification data

Klaas W. Mulder, Evert Bosdriesz, LF Wessels, Tim Stohn et al.
Bioinformatics
Single-cell and spatial transcriptomics
article

Reconstructing and comparing signal transduction networks from single-cell protein quantification data

Klaas W. Mulder, Evert Bosdriesz, LF Wessels, Tim Stohn, Roderick van Eijl
article en

Abstract

The code used for scCNR in this study has been deposited on Zenodo https://doi.org/10.5281/zenodo.17600937 and is also available as a Python module at https://github.com/ibivu/scmra. Additionally, data and code to reproduce all figures is available at https://github.com/tstohn/scmra_analysis.

BioinformaticsVol. 42(1)
Radboud University Nijmegen (NL), Radboud University Medical Center (NL), Radboud Institute for Molecular Life Sciences (NL), Oncode Institute (NL), Vrije Universiteit Amsterdam (NL), Delft University of Technology (NL)
Oncode Institute
Openalex Percentile: Top 36%
Single-cell and spatial transcriptomics
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