ArticleBioinformatics (Oxford, England)2015
flowDensity: reproducing manual gating of flow cytometry data by automated density-based cell population identification.
Article in Bioinformatics (Oxford, England), 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 72 papers.
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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
72 citing papers in PubMed.
- Article
- Automated Computational Flow Cytometry Correlates Decreasing Neutrophil-to-Lymphocyte Ratio to Improved Survival in NSCLC after Immune Checkpoint Blockade.Cancer immunology research · 2026Article
- Assessing molecular gene by treatment interactions using a population of neural progenitors exposed to valproic acid and lithium.Molecular psychiatry · 2026Article
- Reproducible detection of antigen-specific T cells and Tregs via standardized and automated activation-induced marker assay workflows.Cell reports methods · 2026Article
- Accurate automated diagnosis of B-acute lymphoblastic leukemia using deep learning and flow cytometry.Haematologica · 2026Article
- Automatic classification of circulating blood cell clusters based on multi-channel flow cytometry imaging.Engineering applications of artificial intelligence · 2026Article
- Automated cytotoxicity assessment of natural killer cells by flow cytometry.Frontiers in immunology · 2026Article
- Booster dose reshapes SARS-CoV-2 RBD-specific B cell immunity in people living with HIV.Journal of translational medicine · 2025Article
- Automatic Classification of Circulating Blood Cell Clusters based on Multi-channel Flow Cytometry Imaging.bioRxiv : the preprint server for biology · 2025Article
- Functional maps of a genomic locus reveal confinement of an enhancer by its target gene.Science (New York, N.Y.) · 2025Article
- Automatic phenotyping using exhaustive projection pursuit.Communications biology · 2025Article
- Machine learning approaches to dissect hybrid and vaccine-induced immunity.Communications medicine · 2025Article
- Automation of flow cytometry data analysis with elastic image registration.Scientific reports · 2025Article
- Automated cytometric gating with human-level performance using bivariate segmentation.Nature communications · 2025Article
- Stimulating Wnt signaling reveals context-dependent genetic effects on gene regulation in primary human neural progenitors.Nature neuroscience · 2024Article
- Comparison of three machine learning algorithms for classification of B-cell neoplasms using clinical flow cytometry data.Cytometry. Part B, Clinical cytometry · 2024Article
- Automated Cytometric Gating with Human-Level Performance Using Bivariate Segmentation.bioRxiv : the preprint server for biology · 2024Article
- Long non-coding RNA GRASLND links melanoma differentiation and interferon-gamma response.Frontiers in molecular biosciences · 2024Article
- Deciphering cellular complexity: advances and future directions in single-cell protein analysis.Frontiers in bioengineering and biotechnology · 2024Review
- A cell-level discriminative neural network model for diagnosis of blood cancers.Bioinformatics (Oxford, England) · 2023Article
12 more citing papers are in PubMed but not listed here.
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
Abstract
summaryflowDensity facilitates reproducible, high-throughput analysis of flow cytometry data by automating a predefined manual gating approach. The algorithm is based on a sequential bivariate gating approach that generates a set of predefined cell populations. It chooses the best cut-off for individual markers using characteristics of the density distribution. The Supplementary Material is linked to the online version of the manuscript. AVAILABILITY AND IMPLEMENTATION: R source code freely available through BioConductor (http://master.bioconductor.org/packages/devel/bioc/html/flowDensity.html.). Data available from FlowRepository.org (dataset FR-FCM-ZZBW). CONTACT: rbrinkman@bccrc.ca SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
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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.