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- Journal Article
- A1
- open access
Machine learning in marine ecology : an overview of techniques and applications
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- Journal Article
- A1
- open access
Computational analysis of microbial flow cytometry data
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PhenoGMM : Gaussian mixture modeling of cytometry data quantifies changes in microbial community structure
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Cytometric fingerprints of gut microbiota predict Crohn's disease state
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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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Fast pathogen identification using single-cell matrix-assisted laser desorption/ionization-aerosol time-of-flight mass spectrometry data and deep learning methods
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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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- PhD Thesis
- open access
Machine learning approaches for microbial flow cytometry at the single-cell and community level
(2019) -
Predicting microbial biodiversity using flow cytometry and 16S rRNA gene amplicon sequencing
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Fingerprinting microbial communities through flow cytometry and Raman spectroscopy
(2019)