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Efficient integration of heterogeneous single-cell transcriptomes using Scanorama
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Year:
2019
Type:
article
Source:
Nature Biotechnology
DOI:
10.1038/s41587-019-0113-3
Authors:
Brian Hie,
Bryan Bryson,
Bonnie Berger
Institutions:
MIT Computer Science and Artificial Intelligence Laboratory,
Massachusetts Institute of Technology
Language:
English
Topic:
Single-cell and spatial transcriptomics
Subfield:
Molecular Biology
Field:
Biochemistry, Genetics and Molecular Biology
Domain:
Life Sciences
Open Access status:
bronze
Funders:
National Institutes of Health,
National Institute of General Medical Sciences
Award:
Structure based Prediction of the interactome
OpenAlex ID:
W2942880491
FWCI:
25.43
Cites:
65
Cited by:
889
Related to:
10