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Automated flow cytometry analysis using machine learning algorithm FlowSOM

dc.rights.licenseCC-BY-NC-ND
dc.contributor.advisorPandit, Aridaman
dc.contributor.authorMeijer, Charles
dc.date.accessioned2022-12-31T00:01:01Z
dc.date.available2022-12-31T00:01:01Z
dc.date.issued2022
dc.identifier.urihttps://studenttheses.uu.nl/handle/20.500.12932/43367
dc.description.sponsorshipUtrecht University
dc.language.isoEN
dc.subjectFlowSOM is an R package used to cluster flow cytometry data automatically. This report describes the use of the package and its different parameter settings, as minor parameter modifications may significantly impact the output of the algorithm.
dc.titleAutomated flow cytometry analysis using machine learning algorithm FlowSOM
dc.type.contentMaster Thesis
dc.rights.accessrightsOpen Access
dc.subject.courseuuBioinformatics and Biocomplexity
dc.thesis.id5155


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