Zobrazeno 1 - 10
of 627
pro vyhledávání: '"Reyes Gonzalez"'
Autor:
David K. Lau, Caroline Fong, Faten Arouri, Lillian Cortez, Hannah Katifi, Reyes Gonzalez-Exposito, Muhammad Bilal Razzaq, Su Li, Aislinn Macklin-Doherty, Monica Arenas Hernandez, Michael Hubank, Charlotte Fribbens, David Watkins, Sheela Rao, Ian Chau, David Cunningham, Naureen Starling
Publikováno v:
BMC Cancer, Vol 23, Iss 1, Pp 1-8 (2023)
Abstract Background Dihydropyrimidine dehydrogenase (DPD) is a key enzyme in the metabolism of fluoropyrimidines. Variations in the encoding DPYD gene are associated with severe fluoropyrimidine toxicity and up-front dose reductions are recommended.
Externí odkaz:
https://doaj.org/article/8c4c528d564e402aa51ff80d19849ea5
Autor:
Reyes Gonzalez-Exposito, Maria Semiannikova, Beatrice Griffiths, Khurum Khan, Louise J. Barber, Andrew Woolston, Georgia Spain, Katharina von Loga, Ben Challoner, Radhika Patel, Michael Ranes, Amanda Swain, Janet Thomas, Annette Bryant, Claire Saffery, Nicos Fotiadis, Sebastian Guettler, David Mansfield, Alan Melcher, Thomas Powles, Sheela Rao, David Watkins, Ian Chau, Nik Matthews, Fredrik Wallberg, Naureen Starling, David Cunningham, Marco Gerlinger
Publikováno v:
Journal for ImmunoTherapy of Cancer, Vol 7, Iss 1, Pp 1-14 (2019)
Abstract Background The T cell bispecific antibody cibisatamab (CEA-TCB) binds Carcino-Embryonic Antigen (CEA) on cancer cells and CD3 on T cells, which triggers T cell killing of cancer cell lines expressing moderate to high levels of CEA at the cel
Externí odkaz:
https://doaj.org/article/ed3d536126fe414a9681258db65b3503
Autor:
Araz, Jack Y., Buckley, Andy, Kasieczka, Gregor, Kieseler, Jan, Kraml, Sabine, Kvellestad, Anders, Lessa, Andre, Procter, Tomasz, Raklev, Are, Reyes-Gonzalez, Humberto, Rolbiecki, Krzysztof, Sekmen, Sezen, Unel, Gokhan
With the increasing usage of machine-learning in high-energy physics analyses, the publication of the trained models in a reusable form has become a crucial question for analysis preservation and reuse. The complexity of these models creates practica
Externí odkaz:
http://arxiv.org/abs/2312.14575
Autor:
Khurum Khan, Reyes Gonzalez-Exposito, David Cunningham, Dow-Mu Koh, Andrew Woolston, Louise Barber, Beatrice Griffiths, Kyriakos Kouvelakis, Vanessa Calamai, Monia Bali, Nasir Khan, Annette Bryant, Claire Saffery, Charles Dearman, Ruwaida Begum, Sheela Rao, Naureen Starling, David Watkins, Ian Chau, Chiara Braconi, Nicola Valeri, Marco Gerlinger, Nicos Fotiadis
Publikováno v:
Frontiers in Oncology, Vol 10 (2020)
BackgroundImage-guided tissue biopsies are critically important in the diagnosis and management of cancer patients. High-yield samples are also vital for biomarker and resistance mechanism discovery through molecular/genomic analyses.Patients and Met
Externí odkaz:
https://doaj.org/article/8e8b30f146d24efdaf18a98b32ab9eed
We propose the NFLikelihood, an unsupervised version, based on Normalizing Flows, of the DNNLikelihood proposed in Ref.[1]. We show, through realistic examples, how Autoregressive Flows, based on affine and rational quadratic spline bijectors, are ab
Externí odkaz:
http://arxiv.org/abs/2309.09743
Publikováno v:
Symmetry 2024, 16(8), 942
Normalizing Flows have emerged as a powerful brand of generative models, as they not only allow for efficient sampling of complicated target distributions, but also deliver density estimation by construction. We propose here an in-depth comparison of
Externí odkaz:
http://arxiv.org/abs/2302.12024
Autor:
Cresswell, Jesse C., Ross, Brendan Leigh, Loaiza-Ganem, Gabriel, Reyes-Gonzalez, Humberto, Letizia, Marco, Caterini, Anthony L.
Precision measurements and new physics searches at the Large Hadron Collider require efficient simulations of particle propagation and interactions within the detectors. The most computationally expensive simulations involve calorimeter showers. Adva
Externí odkaz:
http://arxiv.org/abs/2211.15380
Autor:
Araz, Jack Y., Buckley, Andy, Fuks, Benjamin, Reyes-Gonzalez, Humberto, Waltenberger, Wolfgang, Williamson, Sophie L., Yellen, Jamie
Publikováno v:
SciPost Phys. 14, 077 (2023)
To gain a comprehensive view of what the LHC tells us about physics beyond the Standard Model (BSM), it is crucial that different BSM-sensitive analyses can be combined. But in general, search analyses are not statistically orthogonal, so performing
Externí odkaz:
http://arxiv.org/abs/2209.00025
Publikováno v:
Applied Computer Science, Vol 10, Iss 1 (2014)
The present paper seeks to explain the diverse advantages of virtual books and also the main barriers that make it difficult their implementation in the classroom. A brief review of the literature on ICT, e-learning, distance education and e-books wi
Externí odkaz:
https://doaj.org/article/da3e371263e54ebc8871f94e35919cbe
Normalizing Flows (NFs) are emerging as a powerful class of generative models, as they not only allow for efficient sampling, but also deliver, by construction, density estimation. They are of great potential usage in High Energy Physics (HEP), where
Externí odkaz:
http://arxiv.org/abs/2202.09188