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Institution

University of Warwick

EducationCoventry, Warwickshire, United Kingdom
About: University of Warwick is a education organization based out in Coventry, Warwickshire, United Kingdom. It is known for research contribution in the topics: Population & Context (language use). The organization has 26212 authors who have published 77127 publications receiving 2666552 citations. The organization is also known as: Warwick University & The University of Warwick.


Papers
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Journal ArticleDOI
TL;DR: The results from the Assessment of Mitosis Detection Algorithms 2013 (AMIDA13) challenge are described and the top performing method has an error rate that is comparable to the inter-observer agreement among pathologists.

405 citations

Journal ArticleDOI
TL;DR: These findings provide new regions for investigation into the pathogenesis of prostate cancer and demonstrate the usefulness of combining ancestrally diverse populations to discover risk loci for disease.
Abstract: Genome-wide association studies (GWAS) have identified 76 variants associated with prostate cancer risk predominantly in populations of European ancestry. To identify additional susceptibility loci for this common cancer, we conducted a meta-analysis of > 10 million SNPs in 43,303 prostate cancer cases and 43,737 controls from studies in populations of European, African, Japanese and Latino ancestry. Twenty-three new susceptibility loci were identified at association P < 5 × 10(-8); 15 variants were identified among men of European ancestry, 7 were identified in multi-ancestry analyses and 1 was associated with early-onset prostate cancer. These 23 variants, in combination with known prostate cancer risk variants, explain 33% of the familial risk for this disease in European-ancestry populations. These findings provide new regions for investigation into the pathogenesis of prostate cancer and demonstrate the usefulness of combining ancestrally diverse populations to discover risk loci for disease.

404 citations

Journal ArticleDOI
TL;DR: In this article, the authors consider forecasting using a combination, when no model coincides with a non-constant data generation process (DGP), and show that combining forecasts adds value, and can even dominate the best individual device.
Abstract: Summary We consider forecasting using a combination, when no model coincides with a non-constant data generation process (DGP). Practical experience suggests that combining forecasts adds value, and can even dominate the best individual device. We show why this can occur when forecasting models are differentially mis-specified, and is likely to occur when the DGP is subject to location shifts. Moreover, averaging may then dominate over estimated weights in the combination. Finally, it cannot be proved that only non-encompassed devices should be retained in the combination. Empirical and Monte Carlo illustrations confirm the analysis.

404 citations

Journal ArticleDOI
TL;DR: These organoids expand long-term, are genetically stable and differentiate following treatment with reproductive hormones, and provide a foundation to study common diseases, such as endometriosis and endometrial cancer, as well as the physiology of early gestation.
Abstract: Turco et al. derive long-term genetically stable organoids from normal endometrium and the decidua that recapitulate characteristics of in vivo uterine glands, respond to hormones and differentiate into secretory and ciliated endometrial cells.

404 citations

Journal ArticleDOI
Claudio L. Afonso1, Gaya K. Amarasinghe2, Krisztián Bányai3, Yīmíng Bào4, Christopher F. Basler5, Sina Bavari6, Nicolás Bejerman, Kim R. Blasdell7, François Xavier Briand, Thomas Briese8, Alexander Bukreyev9, Charles H. Calisher10, Kartik Chandran11, Jiāsēn Chéng12, Anna N. Clawson4, Peter L. Collins4, Ralf G. Dietzgen13, Olga Dolnik14, Leslie L. Domier15, Ralf Dürrwald, John M. Dye6, Andrew J. Easton16, Hideki Ebihara4, Szilvia L. Farkas3, Juliana Freitas-Astúa17, Pierre Formenty18, Ron A. M. Fouchier19, Yanping Fu12, Elodie Ghedin20, Michael M. Goodin21, Roger Hewson22, Masayuki Horie23, Timothy H. Hyndman24, Dàohóng Jiāng12, E. W. Kitajima25, Gary P. Kobinger26, Hideki Kondo27, Gael Kurath28, Robert A. Lamb29, Sergio Lenardon, Eric M. Leroy, C. Li, Xian Dan Lin30, Lìjiāng Liú12, Ben Longdon31, Szilvia Marton3, Andrea Maisner14, Elke Mühlberger32, Sergey V. Netesov33, Norbert Nowotny34, Norbert Nowotny35, Jean L. Patterson36, Susan Payne37, Janusz T. Paweska, Richard E. Randall38, Bertus K. Rima39, Paul A. Rota30, Dennis Rubbenstroth40, Martin Schwemmle40, Mang Shi41, Sophie J. Smither42, Mark D. Stenglein10, David M. Stone, Ayato Takada43, Calogero Terregino, Robert B. Tesh9, Jun Hua Tian30, Keizo Tomonaga44, Noël Tordo45, Jonathan S. Towner30, Nikos Vasilakis9, Martin Verbeek46, Viktor E. Volchkov47, Victoria Wahl-Jensen, John A. Walsh16, Peter J. Walker7, David Wang2, Lin-Fa Wang48, Thierry Wetzel, Anna E. Whitfield49, Jiǎtāo Xiè12, Kwok-Yung Yuen50, Yong-Zhen Zhang41, Jens H. Kuhn4 
United States Department of Agriculture1, Washington University in St. Louis2, Hungarian Academy of Sciences3, National Institutes of Health4, Georgia State University5, United States Army Medical Research Institute of Infectious Diseases6, Commonwealth Scientific and Industrial Research Organisation7, Columbia University8, University of Texas Medical Branch9, Colorado State University10, Yeshiva University11, Huazhong Agricultural University12, University of Queensland13, University of Marburg14, University of Illinois at Urbana–Champaign15, University of Warwick16, Empresa Brasileira de Pesquisa Agropecuária17, World Health Organization18, Erasmus University Rotterdam19, New York University20, University of Kentucky21, Public Health England22, Kagoshima University23, Murdoch University24, University of São Paulo25, Public Health Agency of Canada26, Okayama University27, United States Geological Survey28, Northwestern University29, Centers for Disease Control and Prevention30, University of Cambridge31, Boston University32, Novosibirsk State University33, University of Medicine and Health Sciences34, University of Veterinary Medicine Vienna35, Texas Biomedical Research Institute36, Texas A&M University37, University of St Andrews38, Queen's University Belfast39, University of Freiburg40, Chinese Center for Disease Control and Prevention41, Defence Science and Technology Laboratory42, Hokkaido University43, Kyoto University44, Pasteur Institute45, Wageningen University and Research Centre46, University of Lyon47, National University of Singapore48, Kansas State University49, University of Hong Kong50
TL;DR: The updated taxonomy of the order Mononegavirales is presented as now accepted by the International Committee on Taxonomy of Viruses (ICTV).
Abstract: In 2016, the order Mononegavirales was emended through the addition of two new families (Mymonaviridae and Sunviridae), the elevation of the paramyxoviral subfamily Pneumovirinae to family status (Pneumoviridae), the addition of five free-floating genera (Anphevirus, Arlivirus, Chengtivirus, Crustavirus, and Wastrivirus), and several other changes at the genus and species levels. This article presents the updated taxonomy of the order Mononegavirales as now accepted by the International Committee on Taxonomy of Viruses (ICTV).

404 citations


Authors

Showing all 26659 results

NameH-indexPapersCitations
David Miller2032573204840
Daniel R. Weinberger177879128450
Kay-Tee Khaw1741389138782
Joseph E. Stiglitz1641142152469
Edmund T. Rolls15361277928
Thomas J. Smith1401775113919
Tim Jones135131491422
Ian Ford13467885769
Paul Harrison133140080539
Sinead Farrington133142291099
Peter Hall132164085019
Paul Brennan132122172748
G. T. Jones13186475491
Peter Simmonds13182362953
Tim Martin12987882390
Network Information
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023195
2022734
20214,817
20204,927
20194,602
20184,132