Identifying cancer cells from calling single-nucleotide variants in scRNA-seq data

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Publication Details

Journal
Bioinformatics
Published
2024-08-15
DOI
https://doi.org/10.1093/bioinformatics/btae512
Citations
8
Primary Topic
Single-cell and spatial transcriptomics
Type
article
Field-Weighted Citation Impact
1.87

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article

Identifying cancer cells from calling single-nucleotide variants in scRNA-seq data

Laleh Haghverdi, Valérie Marot-Lassauzaie, Benedikt Obermayer, Lars Velten et al.
8 citations
Bioinformatics
Single-cell and spatial transcriptomics
1.87
article

Identifying cancer cells from calling single-nucleotide variants in scRNA-seq data

Laleh Haghverdi, Valérie Marot-Lassauzaie, Benedikt Obermayer, Lars Velten, Dieter Beule, Sergi Beneyto‐Calabuig
article en
8 citations

Abstract

No abstract available for this paper.
BioinformaticsVol. 40(9)
Universitat Pompeu Fabra (ES), Max Delbrück Center (DE), Humboldt-Universität zu Berlin (DE), Centre for Genomic Regulation (ES), Berlin Institute of Health at Charité - Universitätsmedizin Berlin (DE), Freie Universität Berlin (DE), Charité - Universitätsmedizin Berlin (DE)
Deutsche Forschungsgemeinschaft, Bundesministerium für Bildung und Forschung
Good health and well-being
Openalex Percentile: Top 14%
Single-cell and spatial transcriptomics
1.87
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