ArticleAdvances in bioinformatics2009
A survey of flow cytometry data analysis methods.
Article in Advances in bioinformatics, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers.
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Who cites it
39 citing papers in PubMed.
- Artificial Intelligence in Haematologic Diagnostics: Current Applications and Future Perspectives.Acta haematologica · 2026Review
- SingletSeeker: An unsupervised clustering approach for automated singlet discrimination in cytometry.Cytometry. Part B, Clinical cytometry · 2025Article
- flowSim: Near duplicate detection for flow cytometry data.Cytometry. Part A : the journal of the International Society for Analytical Cytology · 2023Article
- Techniques for Profiling the Cellular Immune Response and Their Implications for Interventional Oncology.Cancers · 2022Review
- Integrated machine learning approaches for flow cytometric quantification of myeloid-derived suppressor cells in acute sepsis.Frontiers in immunology · 2022Article
- Guidelines for the use of flow cytometry and cell sorting in immunological studies (second edition).European journal of immunology · 2019Article
- Characterization of immune cell subtypes in three commonly used mouse strains reveals gender and strain-specific variations.Laboratory investigation; a journal of technical methods and pathology · 2019Article
- Determination of essential phenotypic elements of clusters in high-dimensional entities-DEPECHE.PloS one · 2019Article
- [Automatic clustering method of flow cytometry data based onSheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi · 2018Article
- Article
- Flow immunophenotyping of benign lymph nodes sampled by FNA: Representative with diagnostic pitfalls.Cancer cytopathology · 2018Article
- Automated flow cytometric identification of disease-specific cells by the ECLIPSE algorithm.Scientific reports · 2018Article
- DAFi: A directed recursive data filtering and clustering approach for improving and interpreting data clustering identification of cell populations from polychromatic flow cytometry data.Cytometry. Part A : the journal of the International Society for Analytical Cytology · 2018Article
- Article
- Guidelines for the use of flow cytometry and cell sorting in immunological studies.European journal of immunology · 2017Article
- Novel data analysis method for multicolour flow cytometry links variability of multiple markers on single cells to a clinical phenotype.Scientific reports · 2017Article
- Automated Assessment of Disease Progression in Acute Myeloid Leukemia by Probabilistic Analysis of Flow Cytometry Data.IEEE transactions on bio-medical engineering · 2017Article
- Article
- [Cell data clustering method in flow cytometry based on kernel principal component analysis].Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi · 2017Article
- Consistent quantitative gene product expression: #1. Automated identification of regenerating bone marrow cell populations using support vector machines.Cytometry. Part A : the journal of the International Society for Analytical Cytology · 2016Article
Corrections and comments
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Authors and funding
2 authors.
Funding
Abstract
Flow cytometry (FCM) is widely used in health research and in treatment for a variety of tasks, such as in the diagnosis and monitoring of leukemia and lymphoma patients, providing the counts of helper-T lymphocytes needed to monitor the course and treatment of HIV infection, the evaluation of peripheral blood hematopoietic stem cell grafts, and many other diseases. In practice, FCM data analysis is performed manually, a process that requires an inordinate amount of time and is error-prone, nonreproducible, nonstandardized, and not open for re-evaluation, making it the most limiting aspect of this technology. This paper reviews state-of-the-art FCM data analysis approaches using a framework introduced to report each of the components in a data analysis pipeline. Current challenges and possible future directions in developing fully automated FCM data analysis tools are also outlined.
Identifiers
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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.