Phenotyping the virulence of SARS-CoV-2 variants in hamsters by digital pathology and machine learning

Meehan, G. , Herder, V. , Allan, J., Huang, X., Kerr, K., Correa Mendonca, D. , Ilia, G., Wright, D. , Nomikou, K., Gu, Q. , Molina Arias, S., Hansmann, F., Hardas, A., Attipa, C., De Lorenzo, G. , Cowton, V., Upfold, N. , Palmalux, N., Brown, J., Barclay, W., Da Silva Filipe, A. , Furnon, W. , Patel, A. and Palmarini, M. (2023) Phenotyping the virulence of SARS-CoV-2 variants in hamsters by digital pathology and machine learning. [Data Collection]

Collection description

The dataset contains the raw data underpinning some of the figures in the research article. In addition, files needed to use algorithm necessary to identify alveolar epithelial hyperproliferation using the HALO software.

Funding:
College / School: College of Medical Veterinary and Life Sciences > School of Infection and Immunity > Centre for Virus Research
Date Deposited: 18 Oct 2023 14:18
Related resources:
URI: https://researchdata.gla.ac.uk/id/eprint/1513

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Meehan, G. , Herder, V. , Allan, J., Huang, X., Kerr, K., Correa Mendonca, D. , Ilia, G., Wright, D. , Nomikou, K., Gu, Q. , Molina Arias, S., Hansmann, F., Hardas, A., Attipa, C., De Lorenzo, G. , Cowton, V., Upfold, N. , Palmalux, N., Brown, J., Barclay, W., Da Silva Filipe, A. , Furnon, W. , Patel, A. and Palmarini, M. (2023); Phenotyping the virulence of SARS-CoV-2 variants in hamsters by digital pathology and machine learning

University of Glasgow

DOI: 10.5525/gla.researchdata.1513

Retrieved: 2024-07-15

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