Unifying DNA methylation-based <i>in silico</i> cell-type deconvolution with <i>deconvMe</i>

Authors

Moana Witte
Markus List
Lina-Liv Willruth (ORCID: https://orcid.org/0000-0002-0335-4918)
Carlos Oltmanns (ORCID: https://orcid.org/0000-0002-1517-9854)
Anke Kraft (ORCID: https://orcid.org/0000-0002-9666-0753)
Alexander Dietrich (ORCID: https://orcid.org/0000-0002-8661-0453)
Sebastian Klein
Markus Cornberg
Korbinian Pürckhauer

Institutions

Leibniz University Hannover (DE)
Medizinische Hochschule Hannover (DE)
German Center for Infection Research (DE)
Leibniz-Institute for Food Systems Biology at the Technical University of Munich (DE)
Centre for Individualised Infection Medicine (DE)
Center for Experimental and Clinical Infection Research (DE)
Technical University of Munich (DE)

Publication Details

Journal: Bioinformatics Advances
Published: 2024-12-26
DOI: https://doi.org/10.1093/bioadv/vbaf201
Primary Topic: Single-cell and spatial transcriptomics
Type: article
Field-Weighted Citation Impact: 0.00

Funders

Bundesministerium für Bildung und Forschung

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article

Unifying DNA methylation-based in silico cell-type deconvolution with deconvMe

Moana Witte, Markus List, Lina-Liv Willruth, Carlos Oltmanns et al.

Dec 26, 2024

Bioinformatics Advances

Single-cell and spatial transcriptomics

article

Unifying DNA methylation-based in silico cell-type deconvolution with deconvMe

Moana Witte, Markus List, Lina-Liv Willruth, Carlos Oltmanns, Anke Kraft, Alexander Dietrich, Sebastian Klein, Markus Cornberg, Korbinian Pürckhauer

December 26, 2024article en

Abstract

No abstract available for this paper.

Bioinformatics AdvancesVol. 5(1)

Leibniz University Hannover (DE), Medizinische Hochschule Hannover (DE), German Center for Infection Research (DE), Leibniz-Institute for Food Systems Biology at the Technical University of Munich (DE), Centre for Individualised Infection Medicine (DE), Center for Experimental and Clinical Infection Research (DE), Technical University of Munich (DE)

Bundesministerium für Bildung und Forschung

Openalex Percentile: Top 77%

Single-cell and spatial transcriptomics

DOI Open Access PDF OpenAlex

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Unifying DNA methylation-based <i>in silico</i> cell-type deconvolution with <i>deconvMe</i> — Moana Witte, Markus List, et al. · Bioinformatics Advances (2024) | TGRS Research Map | TGRS