Zobrazeno 1 - 10
of 33
pro vyhledávání: '"Richard Dybowski"'
Publikováno v:
PLoS Computational Biology, Vol 13, Iss 11, p e1005841 (2017)
Over the last ten years, isogenic tagging (IT) has revolutionised the study of bacterial infection dynamics in laboratory animal models. However, quantitative analysis of IT data has been hindered by the piecemeal development of relevant statistical
Externí odkaz:
https://doaj.org/article/fb48cfcd4764486a8e308d5ac1b9bbc8
Autor:
Chris Coward, Olivier Restif, Richard Dybowski, Andrew J Grant, Duncan J Maskell, Pietro Mastroeni
Publikováno v:
PLoS Pathogens, Vol 10, Iss 9, p e1004359 (2014)
Salmonella enterica infections are a significant global health issue, and development of vaccines against these bacteria requires an improved understanding of how vaccination affects the growth and spread of the bacteria within the host. We have comb
Externí odkaz:
https://doaj.org/article/03241ba4b86247d2939ed50e5b270c2e
Publikováno v:
PLoS ONE, Vol 8, Iss 12, p e82317 (2013)
Understanding the mechanisms underlying the observed dynamics of complex biological systems requires the statistical assessment and comparison of multiple alternative models. Although this has traditionally been done using maximum likelihood-based me
Externí odkaz:
https://doaj.org/article/ef3ca9475b014ff585232c89a665069e
Autor:
Richard Dybowski
Publikováno v:
New Journal of Chemistry. 44:20914-20920
There has been an upsurge of interest in applying machine-learning (ML) techniques to chemistry, and a number of these applications have achieved impressive predictive accuracies; however, they have done so without providing any insight into what has
Autor:
Richard Dybowski
Publikováno v:
Artificial Intelligence in Medicine ISBN: 9783030580803
Artificial Intelligence in Medicine
Artificial Intelligence in Medicine
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::630f5a574f44e44146fee1c8a413ee50
https://doi.org/10.1007/978-3-030-64573-1_317
https://doi.org/10.1007/978-3-030-64573-1_317
Autor:
Richard Dybowski
Publikováno v:
Artificial Intelligence in Medicine ISBN: 9783030580803
Artificial Intelligence in Medicine
Artificial Intelligence in Medicine
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::26705cd836d2f4bfc04250bfe2a81795
https://doi.org/10.1007/978-3-030-64573-1_318
https://doi.org/10.1007/978-3-030-64573-1_318
Autor:
Richard Dybowski
SUMMARYLogistic regression is the standard method for developing prognostic models for intensive care, but this approach does not take into account the uncertainty in the model selected and the uncertainty in its regression coefficients. This weaknes
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1c43277fbf8371f6ea18cfb96ae73450
Publikováno v:
PLoS Computational Biology
PLoS Computational Biology, Vol 13, Iss 11, p e1005841 (2017)
PLoS Computational Biology, Vol 13, Iss 11, p e1005841 (2017)
Over the last ten years, isogenic tagging (IT) has revolutionised the study of bacterial infection dynamics in laboratory animal models. However, quantitative analysis of IT data has been hindered by the piecemeal development of relevant statistical
Autor:
Piero Mastroeni, Alexandre Goupy, Andrew J. Grant, Richard Dybowski, Olivier Restif, Duncan J. Maskell
Intravenous inoculation of Salmonella enterica serovar Typhimurium into mice is a prime experimental model of invasive salmonellosis. The use of wild-type isogenic tagged strains (WITS) in this system has revealed that bacteria undergo independent bo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2b6d45151da988061bfa5ef8ef9f8ef4
https://europepmc.org/articles/PMC4780568/
https://europepmc.org/articles/PMC4780568/
Autor:
Piero Mastroeni, Andrew J. Grant, Duncan J. Maskell, Richard Dybowski, Alexandre Goupy, Olivier Restif
Publikováno v:
Journal of the Royal Society Interface
Intravenous inoculation of Salmonella enterica serovar Typhimurium into mice is a prime experimental model of invasive salmonellosis. The use of wild-type isogenic tagged strains (WITS) in this system has revealed that bacteria undergo independent bo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8d5a0b46b2aa387fb232f59d37981c32
https://www.repository.cam.ac.uk/handle/1810/252733
https://www.repository.cam.ac.uk/handle/1810/252733