SARS-CoV-2 Omicron is an immune escape variant with an altered cell entry pathway BJ Willett, J Grove, OA MacLean, C Wilkie, G De Lorenzo, W Furnon, ... Nature microbiology 7 (8), 1161-1179, 2022 | 452 | 2022 |
A Nonparametric Statistical Approach to Clustering via Mode Identification. J Li, S Ray, BG Lindsay Journal of Machine Learning Research 8 (8), 2007 | 296 | 2007 |
Evaluation of MHC class I peptide binding prediction servers: applications for vaccine research HH Lin, S Ray, S Tongchusak, EL Reinherz, V Brusic BMC immunology 9, 1-13, 2008 | 285 | 2008 |
The topography of multivariate normal mixtures S Ray, BG Lindsay | 207 | 2005 |
Use of machine learning and artificial intelligence to predict SARS-CoV-2 infection from full blood counts in a population A Banerjee, S Ray, B Vorselaars, J Kitson, M Mamalakis, S Weeks, ... International immunopharmacology 86, 106705, 2020 | 175 | 2020 |
The hyper-transmissible SARS-CoV-2 Omicron variant exhibits significant antigenic change, vaccine escape and a switch in cell entry mechanism BJ Willett, J Grove, OA MacLean, C Wilkie, N Logan, GD Lorenzo, ... MedRxiv, 2022.01. 03.21268111, 2022 | 167 | 2022 |
BIC and alternative Bayesian information criteria in the selection of structural equation models KA Bollen, JJ Harden, S Ray, J Zavisca Structural equation modeling: a multidisciplinary journal 21 (1), 1-19, 2014 | 139 | 2014 |
Adeno-associated virus 2 infection in children with non-A–E hepatitis A Ho, R Orton, R Tayler, P Asamaphan, V Herder, C Davis, L Tong, ... Nature 617 (7961), 555-563, 2023 | 109 | 2023 |
Functional principal component analysis of spatially correlated data C Liu, S Ray, G Hooker Statistics and Computing 27, 1639-1654, 2017 | 74 | 2017 |
Top scoring pairs for feature selection in machine learning and applications to cancer outcome prediction P Shi, S Ray, Q Zhu, MA Kon BMC bioinformatics 12, 1-15, 2011 | 74 | 2011 |
DenResCov-19: A deep transfer learning network for robust automatic classification of COVID-19, pneumonia, and tuberculosis from X-rays M Mamalakis, AJ Swift, B Vorselaars, S Ray, S Weeks, W Ding, ... Computerized Medical Imaging and Graphics 94, 102008, 2021 | 66 | 2021 |
Quadratic distances on probabilities: A unified foundation BG Lindsay, M Markatou, S Ray, K Yang, SC Chen | 64 | 2008 |
Model selection in high dimensions: a quadratic-risk-based approach S Ray, BG Lindsay Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2008 | 53 | 2008 |
A comparison of Bayes factor approximation methods including two new methods KA Bollen, S Ray, J Zavisca, JJ Harden Sociological Methods & Research 41 (2), 294-324, 2012 | 34 | 2012 |
COVID-19 Genomics UK (COG-UK) Consortium BJ Willett, J Grove, OA MacLean, C Wilkie, G De Lorenzo, W Furnon, ... SARS-CoV-2 Omicron is an immune escape variant with an altered cell entry …, 2022 | 32 | 2022 |
On the upper bound of the number of modes of a multivariate normal mixture S Ray, D Ren Journal of Multivariate Analysis 108, 41-52, 2012 | 27 | 2012 |
A computational framework to emulate the human perspective in flow cytometric data analysis S Ray, S Pyne PloS one 7 (5), e35693, 2012 | 24 | 2012 |
Kernels, degrees of freedom, and power properties of quadratic distance goodness-of-fit tests BG Lindsay, M Markatou, S Ray Journal of the American Statistical Association 109 (505), 395-410, 2014 | 23 | 2014 |
Improved power in multinomial goodness-of-fit tests A Basu, S Ray, C Park, S Basu Journal of the Royal Statistical Society Series D: The Statistician 51 (3 …, 2002 | 22 | 2002 |
Functional factor analysis for periodic remote sensing data C Liu, S Ray, G Hooker, M Friedl | 21 | 2012 |