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

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http://eprints.org/relation/isVersionOf https://researchdata.gla.ac.uk/id/document/5996 http://eprints.org/relation/isVolatileVersionOf https://researchdata.gla.ac.uk/id/document/5996 http://eprints.org/relation/isIndexCodesVersionOf https://researchdata.gla.ac.uk/id/document/5996 archive 5 disk0/00/00/15/13 2023-10-18 14:18:49 2024-04-11 11:41:14 2023-10-18 14:18:49 data_collection show Meehan Gavin 34754 0000-0001-9855-6565 Herder Vanessa 44984 0000-0003-4814-1382 Allan Jay 57195 Huang Xinyi 71853 Kerr Karen 16878 Correa Mendonca Diogo 66405 0000-0003-2356-8750 Ilia George 65673 Wright Derek 4681 0000-0003-0411-4497 Nomikou Kyriaki Gu Quan 31799 0000-0002-1201-6734 Molina Arias Sergi 66396 Hansmann Florian Hardas Alexandros Attipa Charalampos 50079 De Lorenzo Giuditta 38232 0000-0002-2736-8740 Cowton Vanessa 12698 Upfold Nicole 61688 0000-0001-8556-0370 Palmalux Natasha 56662 Brown Jonathan Barclay Wendy Da Silva Filipe Ana 1866 0000-0002-9442-2903 Furnon Wilhelm 49590 0000-0002-5588-4232 Patel Arvind 2055 0000-0003-4600-2047 Palmarini Massimo 10308 0000-0001-7007-4070 glaresearchdata:2023-10-18-1513 Phenotyping the virulence of SARS-CoV-2 variants in hamsters by digital pathology and machine learning pub 25303000 Funding acknowledged from: Medical Research Council (MC_UU_00034/5 and MC_UU_00034/9), UKRI (MR/W005611/1), and LifeArc COVID19 grant. 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. 2023-10-18 published University of Glasgow 10.5525/gla.researchdata.1513 Image Spreadsheet Text University of Glasgow 301049 Host determinants of disease outcomes in arboviral infections Massimo Palmarini Wellcome Trust (WELLCOTR) 206369/Z/17/Z SII - Virology FALSE EN 2021-01 2023-10 https://doi.org/10.1101/2023.08.01.551417 preprint 2033-10-18 R file_transfer FALSE FALSE Phenotyping the virulence of SARS-CoV-2 variants in hamsters by digital pathology and machine learning https://eprints.gla.ac.uk/id/eprint/308976