E-LIB Suche - Ergebnisse für: Bonnett, Christopher

1

Microbiome connections with host metabolism and habitual di..:

Asnicar, Francesco ; Berry, Sarah E. ; Valdes, Ana M....
Nature Medicine. 27 (2021) 2 - p. 321-332 , 2021

2

Anomaly detection for machine learning redshifts applied to..:

Hoyle, Ben ; Rau, Markus Michael ; Paech, Kerstin...
Monthly Notices of the Royal Astronomical Society. 452 (2015) 4 - p. 4183-4194 , 2015

Link: https://doi.org/10.1093/..

3

Data augmentation for machine learning redshifts applied to..:

Hoyle, Ben ; Rau, Markus Michael ; Bonnett, Christopher..
Monthly Notices of the Royal Astronomical Society. 450 (2015) 1 - p. 305-316 , 2015

Link: https://doi.org/10.1093/..

4

Using neural networks to estimate redshift distributions. A..:

Bonnett, Christopher
Monthly Notices of the Royal Astronomical Society. 449 (2015) 1 - p. 1043-1056 , 2015

Link: https://doi.org/10.1093/..

5

GPU-based shear–shear correlation calculation:

Cárdenas-Montes, Miguel ; Vega-Rodríguez, Miguel A. ; Bonnett, Christopher...
Computer Physics Communications. 185 (2014) 1 - p. 11-18 , 2014

Link: https://doi.org/10.1016/..

6

CFHTLenS: co-evolution of galaxies and their dark matter ha..:

Hudson, Michael J. ; Gillis, Bryan R. ; Coupon, Jean...
Monthly Notices of the Royal Astronomical Society. 447 (2014) 1 - p. 298-314 , 2014

Link: https://doi.org/10.1093/..

7

CFHTLenS: the relation between galaxy dark matter haloes an..:

Velander, Malin ; van Uitert, Edo ; Hoekstra, Henk...
Monthly Notices of the Royal Astronomical Society. 437 (2013) 3 - p. 2111-2136 , 2013

Link: https://doi.org/10.1093/..

8

CFHTLenS: combined probe cosmological model comparison usin..:

Kilbinger, Martin ; Fu, Liping ; Heymans, Catherine...
Monthly Notices of the Royal Astronomical Society. 430 (2013) 3 - p. 2200-2220 , 2013

Link: https://doi.org/10.1093/..

9

CFHTLenS: the Canada–France–Hawaii Telescope Lensing Survey:

Heymans, Catherine ; Van Waerbeke, Ludovic ; Miller, Lance...
Monthly Notices of the Royal Astronomical Society. 427 (2012) 1 - p. 146-166 , 2012

Link: https://doi.org/10.1111/..

10

Microbiome connections with host metabolism and habitual di..:

Asnicar, Francesco ; Berry, Sarah E ; Valdes, Ana M...
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8353542/. , 2021

Link: http://www.ncbi.nlm.nih...

11

Microbiome connections with host metabolism and habitual di..:

Asnicar, Francesco ; Berry, Sarah E ; Valdes, Ana M...
info:eu-repo/semantics/altIdentifier/wos/WOS:000607036600006. , 2021

Link: http://hdl.handle.net/11..

12

Microbiome connections with host metabolism and habitual di..:

Asnicar, Francesco ; Berry, Sarah E ; Valdes, Ana M...
https://nottingham-repository.worktribe.com/output/5234749. , 2021

Link: https://doi.org/10.1038/..

13

Human postprandial responses to food and potential for prec..:

Berry, Sarah ; Valdes, Ana ; Drew, David A...
Berry , S , Valdes , A , Drew , D A , Asnicar , F , Mazidi , M , Wolf , J , Capdevila , J , Hadjigeorgiou , G , Davies , R , Al Khatib , H , Bonnett , C , Ganesh , S , Bakker , E , Hart , D , Mangino , M , Merino , J , Linenberg , I , Wyatt , P , Ordovas , J , Gardner , C , Delahanty , L , Chan , A , Segata , N , Franks , P & Spector , T 2020 , ' Human postprandial responses to food and potential for precision nutrition ' , Nature Medicine , vol. 26 , no. 6 , pp. 964-973 . https://doi.org/10.1038/s41591-020-0934-0. , 2020

Link: https://kclpure.kcl.ac.u..

14

Human Postprandial Responses to Food and Potential for Prec..:

Berry, Sarah E ; Valdes, Ana M ; Drew, David A...
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8265154/. , 2020

Link: http://www.ncbi.nlm.nih...

15

Human postprandial responses to food and potential for prec..:

Berry, Sarah E ; Valdes, Ana M ; Drew, David A...
https://nottingham-repository.worktribe.com/output/4646169. , 2020

Link: https://doi.org/10.1038/..