ArticleCell reports methods2021
Double-jeopardy: scRNA-seq doublet/multiplet detection using multi-omic profiling.
Article in Cell reports methods, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
What it found
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The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
12 citing papers in PubMed.
- Mapping atherogenesis mechanisms in smooth muscle cells by targeting genes linked to coronary artery disease.iScience · 2025Article
- A single-cell framework identifies functionally and molecularly distinct multipotent progenitors in adult human hematopoiesis.Cell reports · 2025Article
- Distinct immune cell infiltration patterns in pancreatic ductal adenocarcinoma (PDAC) exhibit divergent immune cell selection and immunosuppressive mechanisms.Nature communications · 2025Article
- Multiplets in scRNA-seq data: Extent of the problem and efficacy of methods for removal.PloS one · 2025Article
- Comparative transcriptomic analyses of thymocytes using 10x Genomics and Parse scRNA-seq technologies.BMC genomics · 2024Article
- Multiomic single-cell sequencing defines tissue-specific responses in Stevens-Johnson syndrome and toxic epidermal necrolysis.Nature communications · 2024Article
- Single-cell sequencing to multi-omics: technologies and applications.Biomarker research · 2024Review
- Synthetic DNA barcodes identify singlets in scRNA-seq datasets and evaluate doublet algorithms.Cell genomics · 2024Article
- A unified model-based framework for doublet or multiplet detection in single-cell multiomics data.Nature communications · 2024Article
- Multiomic single-cell sequencing defines tissue-specific responses in Stevens-Johnson Syndrome and Toxic epidermal necrolysis.bioRxiv : the preprint server for biology · 2024Article
- The Simple prEservatioN of Single cElls method for cryopreservation enables the generation of single-cell immune profiles from whole blood.Frontiers in immunology · 2023Article
- Insights From Single Cell RNA Sequencing Into the Immunology of Type 1 Diabetes- Cell Phenotypes and Antigen Specificity.Frontiers in immunology · 2021Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The computational detection and exclusion of cellular doublets and/or multiplets is a cornerstone for the identification the true biological signals from single-cell RNA sequencing (scRNA-seq) data. Current methods do not sensitively identify both heterotypic and homotypic doublets and/or multiplets. Here, we describe a machine learning approach for doublet/multiplet detection utilizing VDJ-seq and/or CITE-seq data to predict their presence based on transcriptional features associated with identified hybrid droplets. This approach highlights the utility of leveraging multi-omic single-cell information for the generation of high-quality datasets. Our method has high sensitivity and specificity in inflammatory-cell-dominant scRNA-seq samples, thus presenting a powerful approach to ensuring high-quality scRNA-seq data.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.