Threshold-based Doublet Calling
Threshold-Based Doublet Calling is a doublet detection method that identifies artificial doublets in single-cell transcriptomic data by applying predefined statistical thresholds to metrics such as doublet scores or gene expression signatures derived from synthetic doublet models.
9
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6.6K
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18
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10
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2017–2026
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Doublet identification in single-cell sequencing data using scDblFinder
Pierre‐Luc Germain, Aaron T. L. Lun, Will Macnair et al. · F1000Research · 2021 · 919 citations · Full text
Doublet identification in single-cell sequencing data using scDblFinder
Pierre‐Luc Germain, Aaron T. L. Lun, Carlos Garcia Meixide et al. · F1000Research · 2022 · 618 citations · Full text
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University of California, San Francisco, United States
2 publications · 4.8K citations
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Roche (Switzerland)
Basel, Switzerland
2 h-index
2 publications
1.5K citations

SIB Swiss Institute of Bioinformatics
Lausanne, Switzerland
2 h-index
4 publications
3.1K citations
Chan Zuckerberg Initiative (United States)
Redwood City, United States
2 h-index
2 publications
4.8K citations
University of California, San Francisco
San Francisco, United States
2 h-index
6 publications
14.3K citations
University of Zurich
Zurich, Switzerland
2 h-index
4 publications
3.1K citations
ETH Zurich
Zurich, Switzerland
2 h-index
3 publications
2.2K citations
University of California, Los Angeles
Los Angeles, United States
2 h-index
4 publications
456 citations

University of Glasgow
Glasgow, United Kingdom
2 h-index
5 publications
117 citations
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2 publications · 1.5K citations
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2 publications · 4.8K citations
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2 publications · 39 citations
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1 publications · 31 citations
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Repository · 1 publications · 177 citations
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