Cited by 211Single-cell and spatial transcriptomicsBioinformatics and Genomic NetworksGene Regulatory Network Analysis

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Computational methods for single-cell omics across modalities

Efremova, Mirjana, Teichmann, Sarah A.·2020·Nature Methods

DOI 10.1038/s41592-019-0692-4

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Authors: Efremova, M., & Teichmann, S. A.
Affiliations: Wellcome Sanger Institute (GB)
University of Cambridge (GB)
Corresponding author: Teichmann, Sarah A.
ORCID: Efremova, Mirjana
Teichmann, Sarah A.
Venue: Nature Methods
Publisher: Springer Science and Business Media LLC
Published: 2020-01
Volume: 17
Issue: 1
Pages: 14-17
ISSN: 1548-7091 (ISSN-L)
1548-7105
DOI: 10.1038/s41592-019-0692-4
OpenAlex: W2998127407
Cited by: 201
References: 31
Citations by year: 2026: 14 · 2025: 20 · 2024: 28 · 2023: 41 · 2022: 28 · 2021: 48 · 2020: 22
FWCI: 11.29
Type: journal article
Language: en
Open access: closed
Licence: www.springer.com/tdm (tdm)
www.springer.com/tdm (vor)
Locations: Nature Methods (publishedVersion)
PubMed (publishedVersion)
Queen Mary Research Online (Queen Mary University of London) (submittedVersion)
Topics: Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Single-cell and spatial transcriptomics
Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Bioinformatics and Genomic Networks
Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Gene Regulatory Network Analysis
Keywords: single-cell omics, multi-omics integration, single-cell genomics, single-cell epigenomics, single-cell transcriptomics, single-cell proteomics, gene regulatory networks, signaling networks, cell identity, computational methods
MeSH terms: Epigenome, Humans, Computational Biology, Proteome, Gene Expression Profiling, Gene Regulatory Networks, Metabolic Networks and Pathways, Single-Cell Analysis

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