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Global disparities in SARS-CoV-2 genomic surveillance
Genomic sequencing provides critical information to track the evolution and spread of SARS-CoV-2, optimize molecular tests, treatments …
Anderson F Brito, Elizaveta Semenova, Gytis Dudas, Gabriel W Hassler, Chaney C Kalinich, Moritz UG Kraemer, Joses Ho, Houriiyah Tegally, George Githinji, Charles N Agoti, Lucy E Matkin, Charles Whittaker, Benjamin P Howden, Vitali Sintchenko, Neta S Zuckerman, Orna Mor, Heather M Blankenship, Tulio de Oliveira, Raymond TP Lin, Marilda Mendonça Siqueira, Paola Cristina Resende, Ana Tereza R Vasconcelos, Fernando R Spilki, Renato Santana Aguiar, Ivailo Alexiev, Ivan N Ivanov, Ivva Philipova, Christine VF Carrington, Nikita SD Sahadeo, Céline Gurry, Sebastian Maurer-Stroh, Dhamari Naidoo, Karin J von Eije, Mark D Perkins, Maria van Kerkhove, Sarah C Hill, Ester C Sabino, Oliver G Pybus, Christopher Dye, Samir Bhatt, Seth Flaxman, Marc A Suchard, Nathan D Grubaugh, Guy Baele, Nuno R Faria, Danish Covid-19 Genome Consortium
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Changing composition of SARS-CoV-2 lineages and rise of Delta variant in England
We examine trends in the prevalence of non-B.1.1.7 lineages in London and other English regions using passive-case detection PCR data, …
Swapnil Mishra, Soeren Mindermann, Mrinank Sharma, Charles Whittaker, Thomas A Mellan, Thomas Wilton, Dimitra Klapsa, Ryan Mate, Martin Fritzsche, Maria Zambon, Janvi Ahujae, Adam Howes, Xenia Miscouridou, Guy P Nason, Oliver Ratmann, Elizaveta Semenova, Gavin Leech, Julia Fabienn Sandkühlerk, Charlie Rogers-Smithl, Michaela Vollmer, H Juliette T Unwin, Yarin Gal, Meera Chand, Axel Gandy, Javier Martin, Erik Volz, Neil M Ferguson, Samir Bhatt, Jan M Brauner, Seth Flaxman, The COVID-19 Genomics UK (COG-UK) Consortium2
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Track Omicron’s spread with molecular data
There exists consensus that the traditional means by which safety of chemicals is assessed—namely through reliance upon apical outcomes …
Lesley Scott, Nei-yuan Hsiao, Sikhuline Moyo, Lavanya Singh, Houriiyah Tegally, Graeme Dor, Piet Maes, Oliver G Pybus, Moritz UG Kraemer, Elizaveta Semenova, Samir Bhatt, Seth Flaxman, Nuno R Faria, Tulio de Oliveira
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PriorVAE: encoding spatial priors with variational autoencoders for small-area estimation
Encoding spatial priors with variational autoencoders for small-area estimation
Elizaveta Semenova, Yidan Xu, Adam Howes, Theo Rashid, Samir Bhatt, Swapnil Mishra, Seth Flaxman
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PriorVAE: encoding spatial priors with variational autoencoders for small-area estimation
Spatial and temporal fluctuations in COVID-19 fatality rates in Brazilian hospitals
Spatial and temporal fluctuations in COVID-19 fatality rates in Brazilian hospitals
Andrea Brizzi, Charles Whittaker, Luciana M. S. Servo, Iwona Hawryluk, Carlos A. Prete Jr, William M. de Souza, Renato S. Aguiar, Leonardo J. T. Araujo, Leonardo S. Bastos, Alexandra Blenkinsop, Lewis F. Buss, Darlan Candido, Marcia C. Castro, Silvia F. Costa, Julio Croda, Andreza Aruska de Souza Santos, Christopher Dye, Seth Flaxman, Paula L. C. Fonseca, Victor E. V. Geddes, Bernardo Gutierrez, Philippe Lemey, Anna S. Levin, Thomas Mellan, Diego M. Bonfim, Xenia Miscouridou, Swapnil Mishra, Mélodie Monod, Filipe R. R. Moreira, Bruce Nelson, Rafael H. M. Pereira, Otavio Ranzani, Ricardo P. Schnekenberg, Elizaveta Semenova, Raphael Sonabend, Renan P. Souza, Xiaoyue Xi, Ester C. Sabino, Nuno R. Faria, Samir Bhatt, Oliver Ratmann
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The use of Bayesian methodology in the development and validation of a tiered assessment approach towards prediction of rat acute oral toxicity
There exists consensus that the traditional means by which safety of chemicals is assessed—namely through reliance upon apical outcomes …
James W. Firman, Mark T.D. Cronin, Philip H. Rowe, Elizaveta Semenova, John E. Doe
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Flexible Fitting of PROTAC Concentration–Response Curves with Changepoint Gaussian Processes
A proteolysis-targeting chimera (PROTAC) is a new technology that marks proteins for degradation in a highly specific manner. During …
Elizaveta Semenova, Maria Luisa Guerriero, Bairu Zhang, Andreas Hock, Philip Hopcroft, Ganesh Kadamur, Avid M. Afzal, Stanley E. Lazic
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Bayesian workflow for disease transmission modeling in Stan
Thistutorialshowshowtobuild,fit,andcriticizediseasetransmissionmodelsinStan, and should beusefulto …
Leo Grinsztajn, Elizaveta Semenova, Charles C. Margossian, Julien Riou
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Uncertainty quantification in drug design
Machine learning and artificial intelligence are increasingly being applied to the drug-design process as a result of the development …
Lewis H.Mervin, Simon Johansson, Elizaveta Semenova, Kathryn A.Giblin, OlaEngkvist
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A Bayesian neural network for toxicity prediction
Predicting the toxicity of a compound preclinically enables better decision making, thereby reducing development costs and increasing …
Elizaveta Semenova, Williams, Dominic P, Afzal, Avid M, Lazic, Stanley E
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