Zobrazeno 1 - 10
of 23
pro vyhledávání: '"Sam F Greenbury"'
Autor:
Nicholas Longford, Sabita Uthaya, Cheryl Battersby, Sam F Greenbury, Kayleigh Ougham, Elsa D Angelini
Publikováno v:
BMJ Open, Vol 11, Iss 10 (2021)
Objectives The COVID-19 pandemic instigated multiple societal and healthcare interventions with potential to affect perinatal practice. We evaluated population-level changes in preterm and full-term admissions to neonatal units, care processes and ou
Externí odkaz:
https://doaj.org/article/8db4b73612f549af8574f80d7dfeb682
Publikováno v:
PLoS Computational Biology, Vol 12, Iss 3, p e1004773 (2016)
Mutational neighbourhoods in genotype-phenotype (GP) maps are widely believed to be more likely to share characteristics than expected from random chance. Such genetic correlations should strongly influence evolutionary dynamics. We explore and quant
Externí odkaz:
https://doaj.org/article/685fab11b49747a1abcd8f6f6a778c81
Autor:
Vaibhav Mohanty, Sam F. Greenbury, Tasmin Sarkany, Shyam Narayanan, Kamaludin Dingle, Sebastian E. Ahnert, Ard A. Louis
Phenotype robustness, defined as the average mutational robustness of all the genotypes that map to a given phenotype, plays a key role in facilitating neutral exploration of novel phenotypic variation by an evolving population. By applying results f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6e51da3cbcac5a9e06447fd53944b808
https://doi.org/10.1101/2023.03.11.532236
https://doi.org/10.1101/2023.03.11.532236
Fitness landscapes are often described in terms of ‘peaks’ and ‘valleys’, implying an intuitive low-dimensional landscape of the kind encountered in everyday experience. The space of genotypes, however, is extremely high-dimensional, which re
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e20cc91075ef0852cc80f1386b862aa8
https://www.repository.cam.ac.uk/handle/1810/338241
https://www.repository.cam.ac.uk/handle/1810/338241
Autor:
Chris Gale, Sam F. Greenbury, Cheryl Battersby, Kayleigh Ougham, Elsa D. Angelini, Neena Modi, Jinyi Wu
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-15 (2021)
Scientific Reports
Scientific Reports
We used agnostic, unsupervised machine learning to cluster a large clinical database of information on infants admitted to neonatal units in England. Our aim was to obtain insights into nutritional practice, an area of central importance in newborn c
Autor:
Iain G. Johnston, Kamaludin Dingle, Sam F. Greenbury, Chico Q. Camargo, Jonathan P. K. Doye, Sebastian E. Ahnert, Ard A. Louis
Publikováno v:
e2113883119
Proceedings of the National Academy of Sciences of the United States of America
Proceedings of the National Academy of Sciences of the United States of America
Engineers routinely design systems to be modular and symmetric in order to increase robustness to perturbations and to facilitate alterations at a later date. Biological structures also frequently exhibit modularity and symmetry, but the origin of su
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d29ae5c33bea645058d2e815a77ae305
https://hdl.handle.net/11250/3060132
https://hdl.handle.net/11250/3060132
Autor:
Cheryl Battersby, Sabita Uthaya, Sam F. Greenbury, Nicholas T. Longford, Elsa D. Angelini, Kayleigh Ougham, Neena Modi
Publikováno v:
BMJ Open
BMJ Open, Vol 11, Iss 10 (2021)
BMJ Open, Vol 11, Iss 10 (2021)
ObjectivesThe COVID-19 pandemic instigated multiple societal and healthcare interventions with potential to affect perinatal practice. We evaluated population-level changes in preterm and full-term admissions to neonatal units, care processes and out
Autor:
Chico Q. Camargo, Sam F. Greenbury, Iain G. Johnston, Ard A. Louis, Kamaludin Dingle, Sebastian E. Ahnert, Jonathan P. K. Doye
Engineers routinely design systems to be modular and symmetric in order to increase robustness to perturbations and to facilitate alterations at a later date. Biological structures also frequently exhibit modularity and symmetry, but the origin of su
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::262500895dcb744af1f9a3acd17b425a
https://doi.org/10.1101/2021.07.28.454038
https://doi.org/10.1101/2021.07.28.454038
Autor:
Elsa D. Angelini, Sabita Uthaya, Sam F Greenbury, Chris Gale, Kayleigh Ougham, Neena Modi, Cheryl Battersby
Summary Background Intrauterine and postnatal weight are widely regarded as biomarkers of fetal and neonatal wellbeing, but optimal weight gain following preterm birth is unknown. We aimed to describe changes over time in birthweight and postnatal we
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b3832a7d322fc2c9707000d0713d8995
http://hdl.handle.net/10044/1/91418
http://hdl.handle.net/10044/1/91418