Image-based & machine learning-guided multiplexed serology test for SARS-CoV-2

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dc.contributor.affiliationDepartment of Virology, Medicum, University of Helsinki; University of Zurich, Vetsuisse Faculty, Institute of Veterinary Pathology-Hepojoki, Jussi
dc.contributor.authorHepojoki, Jussi
dc.date.accessioned2025-04-29T14:04:16Z
dc.date.issued2022-03-14
dc.date.issued2022-03-14
dc.descriptionSingle-cell extracted imaging features created in project "Image-based & machine learning-guided multiplexed serology test for SARS-CoV-2". The dataset includes train (with annotations) and test features used in the manuscript. Four SARS-CoV-2 antigens (S, N, R, M) were imaged separately with serum samples presenting IgG, IgA and IgM antibodies.
dc.identifierhttps://doi.org/10.5281/zenodo.6352550
dc.identifier.urihttps://datakatalogi.helsinki.fi/handle/123456789/5746
dc.rights.licensecc-by-4.0
dc.subjectImage-based
dc.subjectMachine learning
dc.subjectSARS-CoV-2
dc.titleImage-based & machine learning-guided multiplexed serology test for SARS-CoV-2
dc.typedataset

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