ArticlemSphere2021
PhenoGMM: Gaussian Mixture Modeling of Cytometry Data Quantifies Changes in Microbial Community Structure.
Article in mSphere, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
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Who cites it
19 citing papers in PubMed.
- A Step-by-Step Guide to Successful Multiparametric Microbiota Flow Cytometry.Current protocols · 2026Article
- Mapping human microglial morphological diversity via handcrafted and deep learning-derived image features.iScience · 2026Article
- Objective clustering protocol for single-molecule data: A lifetime vs. intensity study.Biophysical reports · 2026Article
- Interindividual differences in acidogenic potential of the salivary microbiome after mouthwash exposure.BMC microbiology · 2026Article
- Shared stream-lake patterns in diversity, rRNA-based activity and community assembly of bacteria and microeukaryotes under distinct hydrological regimes.FEMS microbiology ecology · 2026Article
- Integrating taxonomic and phenotypic information through FISH-enhanced flow cytometry for microbial community dynamics analysis.Microbiology spectrum · 2025Article
- Whole Cells of Microorganisms-A Powerful Bioanalytical Tool for Measuring Integral Parameters of Pollution: A Review.Biosensors · 2025Review
- Resolving spatiotemporal dynamics in bacterial multicellular populations: approaches and challenges.Microbiology and molecular biology reviews : MMBR · 2025Review
- Machine Learning Methods in Clinical Flow Cytometry.Cancers · 2025Review
- Quantifying synthetic bacterial community composition with flow cytometry: efficacy in mock communities and challenges in co-cultures.mSystems · 2025Article
- AutoGater: a weakly supervised neural network model to gate cells in flow cytometric analyses.Scientific reports · 2024Article
- Real-time flow cytometry to assess qualitative and quantitative responses of oral pathobionts during exposure to antiseptics.Microbiology spectrum · 2024Article
- Unlocking the mechanism of action: a cost-effective flow cytometry approach for accelerating antimicrobial drug development.Microbiology spectrum · 2024Article
- Opportunities in optical and electrical single-cell technologies to study microbial ecosystems.Frontiers in microbiology · 2023Review
- Article
- Tracking defined microbial communities by multicolor flow cytometry reveals tradeoffs between productivity and diversity.Frontiers in microbiology · 2022Article
- Automatic, fast, hierarchical, and non-overlapping gating of flow cytometric data with flowEMMi v2.Computational and structural biotechnology journal · 2022Article
- Predicting the Presence and Abundance of Bacterial Taxa in Environmental Communities through Flow Cytometric Fingerprinting.mSystems · 2021Article
- Computational Analysis of Microbial Flow Cytometry Data.mSystems · 2021Review
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Microbial flow cytometry can rapidly characterize the status of microbial communities. Upon measurement, large amounts of quantitative single-cell data are generated, which need to be analyzed appropriately. Cytometric fingerprinting approaches are often used for this purpose. Traditional approaches either require a manual annotation of regions of interest, do not fully consider the multivariate characteristics of the data, or result in many community-describing variables. To address these shortcomings, we propose an automated model-based fingerprinting approach based on Gaussian mixture models, which we call PhenoGMM. The method successfully quantifies changes in microbial community structure based on flow cytometry data, which can be expressed in terms of cytometric diversity. We evaluate the performance of PhenoGMM using data sets from both synthetic and natural ecosystems and compare the method with a generic binning fingerprinting approach. PhenoGMM supports the rapid and quantitative screening of microbial community structure and dynamics.
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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.