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Machine learning approaches for microbial flow cytometry at the single-cell and community level Rubbens, P. (2019). Machine learning approaches for microbial flow cytometry at the single-cell and community level. PhD Thesis. Ghent University. Faculty of Bioscience Engineering: Ghent. ISBN 9789463572408. xxiv, 240 pp.

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Thesis info: Waegeman, Willem, promotor Boon, Nico, co-promotor

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VLIZ: Non-open access 342777 [ aanvragen ]
Documenttype: Doctoraat/Thesis/Eindwerk

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