Zobrazeno 1 - 10
of 18
pro vyhledávání: '"Geoffrey R Guile"'
Autor:
Susan J Fairweather-Tait, Geoffrey R Guile, Ana M Valdes, Anna A Wawer, Rachel Hurst, Jane Skinner, Alexander J Macgregor
Publikováno v:
PLoS ONE, Vol 8, Iss 12, p e83047 (2013)
This is the first published report examining the combined effect of diet and genotype on body iron content using a classical twin study design. The aim of this study was to determine the relative contribution of genetic and environmental factors in d
Externí odkaz:
https://doaj.org/article/3365bee48cfb426ea6cc377cfc45065b
Autor:
Sarang Chitale, Alex J. MacGregor, Deborah Symmons, Deborah P M Symmons, Cristina Estrach, Stephanie Ling, Louise K. Mercer, Mark Lunt, Kimme L. Hyrich, Kath D. Watson, James N. Galloway, Saba Alzabin, Nicola J Goodson, William G Dixon, Rebecca Davies, Jane Skinner, David A. Bell, Sarah R. Dawson, Elizabeth Wilson, Wenjia Wang, Geoffrey R. Guile, Tim D. Spector, Lillian Barran, Robert J. Moots, Jonathan Packham, Natalia Wegner, Brent Richards, Derek L. Mattey, Patrick J Venables, Andrew J Kinloch, Aedin Cassidy, Ewa Cairns, Emma L. Healey, Diane Bunn, Suzanne M M Verstappen, Susan J. Fairweather-Tait, William Brintnell, David Sharpley, David G. I. Scott
Publikováno v:
Rheumatology. 50:iii37-iii39
Publikováno v:
European Journal of Biochemistry. 258:243-270
This paper extends our earlier work on the analysis of neutral N-glycans from adult rat brain to glycans carrying NeuAc residues as their sole charged groups. These structures comprised at least 40% of the total (acidic and neutral) N-glycan pool. Co
Autor:
Rachel Hurst, Anna A. Wawer, Ana M. Valdes, Geoffrey R. Guile, Susan J. Fairweather-Tait, Jane Skinner, Alex J. MacGregor
Publikováno v:
PLoS ONE, Vol 8, Iss 12, p e83047 (2013)
PLoS ONE
PLoS ONE
This is the first published report examining the combined effect of diet and genotype on body iron content using a classical twin study design. The aim of this study was to determine the relative contribution of genetic and environmental factors in d
Publikováno v:
Biochemical Journal. 300:843-850
A simple and efficient synthetic glycosylation method suitable for use in solid-phase enzymic oligosaccharide synthesis and site-specific glycosylation of recombinant proteins to produce defined glycoforms is described. This strategy utilizes N-(beta
Autor:
Jane Skinner, Susan J. Fairweather-Tait, Geoffrey R. Guile, Alex J. MacGregor, Tim D. Spector, Aedin Cassidy
Publikováno v:
The American journal of clinical nutrition. 94(5)
Background: The effect of diet on bone mineral density (BMD) remains controversial, mainly because of difficulties in isolating dietary factors from the confounding influences of age, lifestyle, and genetic factors. Objective: The aim of this study w
Autor:
Wenjia Wang, Geoffrey R. Guile
Publikováno v:
IJCNN
Boosting techniques have been applied to DNA microarray data because their high dimensionality has made them difficult to analyze. However, classification performance varies between boosting algorithms. We have investigated factors affecting error in
Autor:
A. Cooper, Jasmine G. Waters, Wenjia Wang, Tracey E. Swingler, Simon T. Donell, Caroline J. Pennington, Geoffrey R. Guile, C. Darrah, R.K. Davidson, Ian M. Clark, Xose S. Puente
Publikováno v:
Arthritis Research & Therapy
Scopus
RUO. Repositorio Institucional de la Universidad de Oviedo
instname
Scopus
RUO. Repositorio Institucional de la Universidad de Oviedo
instname
Introduction The molecular mechanisms underlying cartilage destruction in osteoarthritis are poorly understood. Proteolysis is a key feature in the turnover and degradation of cartilage extracellular matrix where the focus of research has been on the
Autor:
Geoffrey R. Guile, Wenjia Wang
Publikováno v:
IJCNN
We have investigated the use of boosting techniques for feature selection for microarray data analysis. We propose a novel algorithm for feature selection and have tested it on three datasets. The results clearly show that our boosting technique for
Autor:
Wenjia Wang, Geoffrey R. Guile
Publikováno v:
IJCNN
We have investigated strategies for enhancing ensemble learning algorithms for DNA microarray data analysis. By using modified versions of AdaBoost, LogitBoost and BagBoosting we have shown that feature non-replacement provides an effective enhanceme