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Cytometric fingerprints of gut microbiota predict Crohn's disease state
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PhenoGMM : Gaussian mixture modeling of cytometry data quantifies changes in microbial community structure
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- Journal Article
- A1
- open access
Predicting the presence and abundance of bacterial taxa in environmental communities through flow cytometric fingerprinting
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Discriminating bacterial phenotypes at the population and single‐cell level : a comparison of flow cytometry and Raman spectroscopy fingerprinting
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Fingerprinting microbial communities through flow cytometry and Raman spectroscopy
(2019) -
Cyt-Geist : current and future challenges in cytometry : reports of the CYTO 2018 conference workshops
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Coculturing bacteria leads to reduced phenotypic heterogeneities
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Predicting microbial biodiversity using flow cytometry and 16S rRNA gene amplicon sequencing
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- Journal Article
- A1
- open access
Randomized lasso links microbial taxa with aquatic functional groups inferred from flow cytometry
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Fingerprinting microbial communities through flow cytometry and Raman spectroscopy