Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Ondrej Šuch"'
Autor:
Valerie Coppard, Grisha Szep, Zoya Georgieva, Sarah K. Howlett, Lorna B. Jarvis, Daniel B. Rainbow, Ondrej Suchanek, Edward J. Needham, Hani S. Mousa, David K. Menon, Felix Feyertag, Krishnaa T. Mahbubani, Kourosh Saeb-Parsy, Joanne L. Jones
Publikováno v:
Frontiers in Immunology, Vol 15 (2024)
As the dimensionality, throughput and complexity of cytometry data increases, so does the demand for user-friendly, interactive analysis tools that leverage high-performance machine learning frameworks. Here we introduce FlowAtlas: an interactive web
Externí odkaz:
https://doaj.org/article/38abc65bbc2440418eb7722db7fcaa14
Autor:
Ondrej Suchanek, John R. Ferdinand, Zewen K. Tuong, Sathi Wijeyesinghe, Anita Chandra, Ann-Katrin Clauder, Larissa N. Almeida, Simon Clare, Katherine Harcourt, Christopher J. Ward, Rachael Bashford-Rogers, Trevor Lawley, Rudolf A. Manz, Klaus Okkenhaug, David Masopust, Menna R. Clatworthy
Publikováno v:
Nature Communications, Vol 14, Iss 1, Pp 1-20 (2023)
Abstract B cells play a central role in humoral immunity but also have antibody-independent functions. Studies to date have focused on B cells in blood and secondary lymphoid organs but whether B cells reside in non-lymphoid organs (NLO) in homeostas
Externí odkaz:
https://doaj.org/article/c0d8e43c40604f7b822a7676214f0253
Publikováno v:
IEEE Access, Vol 11, Pp 77703-77715 (2023)
Ensembling is a popular and powerful technique to utilize predictions from several different machine learning models. The fundamental precondition of a well-working ensemble model is a diverse set of combined constituents. Rapid development in the de
Externí odkaz:
https://doaj.org/article/d0636749f91d41928d1ed1e185cc952b
Autor:
Ondrej Suchanek, Menna R. Clatworthy
Publikováno v:
Frontiers in Immunology, Vol 14 (2023)
To date, studies of tissue-resident immunity have mainly focused on innate immune cells and T cells, with limited data on B cells. B-1 B cells are a unique subset of B cells with innate-like properties, enriched in murine pleural and peritoneal cavit
Externí odkaz:
https://doaj.org/article/3ba0f2690fd840f4a114edea76f2c428
Autor:
Ondrej Such
Publikováno v:
Communications, Vol 12, Iss 1, Pp 55-57 (2010)
T. Jurik recently proposed a new algorithm for solving linear programming problems. The algorithm is iterative, finding points on the boundary of the problem's convex polyhedron. Global convergence of the algorithm is an open question. Jurik benchmar
Externí odkaz:
https://doaj.org/article/a86f0dba7e15436ab0f591ffd4992a86
Publikováno v:
Discrete Mathematics & Theoretical Computer Science, Vol Vol. 13 no. 2, Iss Graph and Algorithms (2011)
Graphs and Algorithms
Externí odkaz:
https://doaj.org/article/282054ca915b415b869d5d72860cc73e
Autor:
René Fabricius, Ondrej Šuch
Publikováno v:
Transportation Research Procedia. 55:1289-1295
In this article we report on experiments on detection of vowel segments in speech with additive noise. Deep neural networks have become the key algorithm in the majority of modern machine learning solutions. We investigate the performance of four Ima
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::45128caa1d6a74056176a31662f0e848
https://doi.org/10.1016/j.trpro.2021.07.112
https://doi.org/10.1016/j.trpro.2021.07.112
Autor:
Ondrej Šuch
Publikováno v:
Journal of Applied Mathematics, Statistics and Informatics. 8:43-47
The behavior of Jurík's nearest point approach algorithm on some 3-dimensional problems In this note we highlight two issues with recently published Jurík's Nearest Point Approach algorithm for linear programming.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::aa39bbe7b2cc642a5959472bf1b48ce5
https://doi.org/10.2478/v10294-012-0004-4
https://doi.org/10.2478/v10294-012-0004-4
Autor:
Ondrej Šuch
Publikováno v:
The Mathematical Gazette. 95:292-300
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d46bbbca01cd692397273d88fcfc6a41
https://doi.org/10.1017/s0025557200003065
https://doi.org/10.1017/s0025557200003065
Autor:
Alexandra M. Riding, Kevin W. Loudon, Andrew Guo, John R. Ferdinand, Laurence S.C. Lok, Nathan Richoz, Andrew Stewart, Tomas Castro-Dopico, Zewen Kelvin Tuong, Remi Fiancette, Georgina S. Bowyer, Aaron Fleming, Eleanor S. Gillman, Ondrej Suchanek, Krishnaa T. Mahbubani, Kourosh Saeb-Parsy, David Withers, Gordan Dougan, Simon Clare, Menna R. Clatworthy
Publikováno v:
iScience, Vol 25, Iss 7, Pp 104660- (2022)
Summary: Bladder infection affects a hundred million people annually, but our understanding of bladder immunity is incomplete. We found type 17 immune response genes among the most up-regulated networks in mouse bladder following uropathogenic Escher
Externí odkaz:
https://doaj.org/article/7b71a1da869042258748c9da3a1ab75a