Paper · 30954476
Scrublet: Computational Identification of Cell Doublets in Single-Cell Transcriptomic Data.
Wolock SL and 2 others. Cell Syst, 2019. Cited by 2,164 papers, by iCite.
11 sourcespapers-2026-11-12-0.1.0
Cite this record
ConductScience Library. Scrublet: Computational Identification of Cell Doublets in Single-Cell Transcriptomic Data. Papers, record 30954476. Release papers-2026-11-12-0.1.0, 12 Nov 2026. https://conductscience.org/library/papers/30954476
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Paper
PubMed's record of the paper, with iCite's citation figures. No abstract is shown.
Topics8
NLM's MeSH indexing of the paper, its major topics first.
| MeSH term | Major |
|---|---|
| RNA-Seq | Major topic |
| Single-Cell Analysis | Major topic |
| Software | Major topic |
| Transcriptome | Major topic |
| Animals | |
| Artifacts | |
| Humans | |
| Mice |
Source PubMed
Grants2
Each grant PubMed's record writes, matched to the NIH project NIH's grant and paper links name for this paper, and each of those links the record does not write.
| Grant, as the record writes it | Agency | Country | NIH project | Stated by | Source |
|---|---|---|---|---|---|
| R01 HL141402 | NHLBI NIH HHS | United States | R01HL141402 | PubMed and NIH | NIH RePORTER |
| R33 CA212697 | NCI NIH HHS | United States | R33CA212697 | PubMed and NIH | NIH RePORTER |
Trials0
The trials whose ClinicalTrials.gov record lists the paper, and the trial numbers the paper's PubMed record names.
None in this release.
Comments and corrections0
PubMed's comments and corrections, NLM's own indexing: retractions first, then expressions of concern, errata and updates, and comments last.
None in this release.
References24
The papers the reference list in PubMed's record names, those in our copy of PubMed, in the list's order.
| Order | PMID | Title | Journal | Year | In Papers | Source |
|---|---|---|---|---|---|---|
| 1 | 29,545,511 | Single-cell profiling of the developing mouse brain and spinal cord with split-pool barcoding. | Science | 2018 | https://conductscience.org/library/papers/29545511 | PubMed |
| 2 | 24,056,875 | Smart-seq2 for sensitive full-length transcriptome profiling in single cells. | Nat Methods | 2013 | https://conductscience.org/library/papers/24056875 | PubMed |
| 3 | 30,954,475 | DoubletFinder: Doublet Detection in Single-Cell RNA Sequencing Data Using Artificial Nearest Neighbors. | Cell Syst | 2019 | https://conductscience.org/library/papers/30954475 | PubMed |
| 4 | 29,227,470 | Multiplexed droplet single-cell RNA-sequencing using natural genetic variation. | Nat Biotechnol | 2018 | https://conductscience.org/library/papers/29227470 | PubMed |
| 5 | 31,856,883 | Genotype-free demultiplexing of pooled single-cell RNA-seq. | Genome Biol | 2019 | https://conductscience.org/library/papers/31856883 | PubMed |
| 6 | 28,091,601 | Massively parallel digital transcriptional profiling of single cells. | Nat Commun | 2017 | https://conductscience.org/library/papers/28091601 | PubMed |
| 7 | 27,345,837 | De Novo Prediction of Stem Cell Identity using Single-Cell Transcriptome Data. | Cell Stem Cell | 2016 | https://conductscience.org/library/papers/27345837 | PubMed |
| 8 | 28,899,397 | Splatter: simulation of single-cell RNA sequencing data. | Genome Biol | 2017 | https://conductscience.org/library/papers/28899397 | PubMed |
| 9 | 29,661,792 | Using single-cell genomics to understand developmental processes and cell fate decisions. | Mol Syst Biol | 2018 | https://conductscience.org/library/papers/29661792 | PubMed |
| 10 | 26,000,488 | Highly Parallel Genome-wide Expression Profiling of Individual Cells Using Nanoliter Droplets. | Cell | 2015 | https://conductscience.org/library/papers/26000488 | PubMed |
1 to 10 of 24
See all 24 referencesCited by1,784
The papers in our copy of PubMed whose reference list names this one, newest first. iCite, which reads more sources, counts 2,164 citations.
| PMID | Title | Journal | Year | In Papers | Source |
|---|---|---|---|---|---|
| 42,988,810 | Consecutive waves of NODAL inhibition are required for epiblast patterning. | Nat Commun | 2026 | https://conductscience.org/library/papers/42988810 | PubMed |
| 42,983,086 | A spatiotemporal cancer cell trajectory underlies glioblastoma heterogeneity. | Nature | 2026 | https://conductscience.org/library/papers/42983086 | PubMed |
| 42,982,821 | Estimating the completeness of large-scale single-cell sequencing projects. | Nat Commun | 2026 | https://conductscience.org/library/papers/42982821 | PubMed |
| 42,979,577 | Bridging large language model-based agents and workflow languages for automated multi-perspective analysis of single-cell RNA sequencing data. | Bioinform Adv | 2026 | https://conductscience.org/library/papers/42979577 | PubMed |
| 42,967,922 | Single-cell profiling uncovers a rare mesenchymal-like urothelial state associated with sarcomatoid bladder cancer. | Cell Death Dis | 2026 | https://conductscience.org/library/papers/42967922 | PubMed |
| 42,964,829 | Non-invasive electromagnetic fields induce anti-tumor neutrophil reprogramming and enhance checkpoint blockade in breast cancer. | Front Immunol | 2026 | https://conductscience.org/library/papers/42964829 | PubMed |
| 42,959,450 | Integrative Transcriptomic Analysis Identifies GPX3 and CSF3R as Candidate Markers of Diabetes-Associated Myocardial Injury. | Diabetes Metab Syndr Obes | 2026 | https://conductscience.org/library/papers/42959450 | PubMed |
| 42,958,310 | CMV-specific clonal expansion in human Th1 and GZMK⁺ CD8⁺ T cells. | Genome Biol | 2026 | https://conductscience.org/library/papers/42958310 | PubMed |
| 42,956,090 | Cd47 deficiency in mouse brain under excitotoxic stress. | PLoS Comput Biol | 2026 | https://conductscience.org/library/papers/42956090 | PubMed |
| 42,949,537 | A single-cell transcriptomic method for the deconvolution of multi-donor blood mixtures. | Brief Bioinform | 2026 | https://conductscience.org/library/papers/42949537 | PubMed |
1 to 10 of 1,784
See all 1,784 cited byGenes12
The genes the Gene search release ties to the paper: Swiss-Prot's references first, then PubTator's text mining.
| Gene | NCBI Gene ID | Linked by | In Genes | Source |
|---|---|---|---|---|
| BANK1 | 55,024 | PubTator's text mining | https://conductscience.org/library/genes/55024 | NCBI Gene |
| BLK | 640 | PubTator's text mining | https://conductscience.org/library/genes/640 | NCBI Gene |
| C1QA | 712 | PubTator's text mining | https://conductscience.org/library/genes/712 | NCBI Gene |
| CD27 | 939 | PubTator's text mining | https://conductscience.org/library/genes/939 | NCBI Gene |
| CD34 | 947 | PubTator's text mining | https://conductscience.org/library/genes/947 | NCBI Gene |
| CST3 | 1,471 | PubTator's text mining | https://conductscience.org/library/genes/1471 | NCBI Gene |
| IGFBP7 | 3,490 | PubTator's text mining | https://conductscience.org/library/genes/3490 | NCBI Gene |
| KLRF1 | 51,348 | PubTator's text mining | https://conductscience.org/library/genes/51348 | NCBI Gene |
| MPO | 4,353 | PubTator's text mining | https://conductscience.org/library/genes/4353 | NCBI Gene |
| MS4A1 | 931 | PubTator's text mining | https://conductscience.org/library/genes/931 | NCBI Gene |
1 to 10 of 12
See all 12 genesDrugs0
The drugs whose trials, in the Pipelines release, list the paper.
None in this release.
Data0
The data bank entries PubMed's record names. Trial numbers are under Trials.
None in this release.
Data dates
The date of each source this release read.
- Trials
- 2026-11-12
- Gene search
- 2026-11-11
- Pipelines
- 2026-09-18
Sources 11
- ChEMBL, through Open TargetsCC BY-SA 3.0
- ClinicalTrials.govNo license stated
- HGNCCC0
- iCiteCC BY 4.0
- NCBI GenePublic domain (US government)
- NIH RePORTER's grant and paper linksPublic domain
- Open TargetsCC0 1.0
- PMC's ID filePublic domain (US government)
- PubMedNLM's terms
- PubTator 3Public domain
- UniProtCC BY 4.0
Each source's terms
- ChEMBL, through Open TargetsCC BY-SA 3.0, for the parts from ChEMBL. Read on 8 Nov 2026 at https://platform-docs.opentargets.org/licence
- ClinicalTrials.govnone stated
- HGNCCC0: https://www.genenames.org/about/license/
- iCiteCC BY 4.0
- NCBI GeneNone named for the file. NCBI says information created by or for the US government on its site is in the public domain, and asks that NLM be acknowledged: https://www.ncbi.nlm.nih.gov/home/about/policies/
- NIH RePORTER's grant and paper linksPublic domain (NIH RePORTER)
- Open TargetsCC0 1.0. Open Targets asks that users cite its latest paper: Buniello et al. 2025, Open Targets Platform: facilitating therapeutic hypotheses building in drug discovery, Nucleic Acids Research 53(D1):D1467, PMID 39657122. Read on 8 Nov 2026 at https://platform-docs.opentargets.org/licence
- PMC's ID fileNone named for the file. NCBI says information created by or for the US government on its site is in the public domain, and asks that NLM be acknowledged: https://www.ncbi.nlm.nih.gov/home/about/policies/
- PubMedNLM's terms
- PubTator 3Public domain
- UniProtCC BY 4.0. UniProt's licence file: "All databases and documents in the UniProt FTP directory may be copied and redistributed freely, without advance permission, provided that this copyright statement is reproduced with each copy." UniProt asks that users cite its latest paper: The UniProt Consortium, UniProt: the Universal Protein Knowledgebase in 2025, Nucleic Acids Research 53:D609-D617, https://doi.org/10.1093/nar/gkae1010. Read on 9 Nov 2026 at https://www.uniprot.org/help/license
ClinicalTrials.gov's data carry an international copyright outside the United States: https://clinicaltrials.gov/about-site/terms-conditions.
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