Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Einar, Ryeng"'
Autor:
Marie Klevjer, Gustavo Jose Justo da Silva, Einar Ryeng, Ulrik Wisløff, Dorthe Stensvold, José Bianco Nascimento Moreira, Anja Bye
Publikováno v:
Progress in cardiovascular diseases
Introduction Low maximal oxygen uptake (VO2max) is a strong and independent risk factor for all-cause and cardiovascular disease (CVD) mortality. For other CVD risk factors, numerous genetic association studies have been performed, revealing promisin
Publikováno v:
Statistics in Medicine. 37:4234-4251
We consider cross-sectional genetic association studies (common and rare variants) where non-genetic information is available, or feasible to obtain for $N$ individuals, but where it is infeasible to genotype all $N$ individuals. We consider continuo
Autor:
Srdjan Djurovic, Mette Langaas, Anja Bye, Ulrik Wisløff, Kari Krizak Halle, Ole A. Andreassen, Øyvind Bakke, Einar Ryeng
Publikováno v:
Scandinavian Journal of Statistics
In genetic association studies, detecting phenotype–genotype association is a primary goal. We assume that the relationship between the data—phenotype, genetic markers and environmental covariates—can be modeled by a generalized linear model. T
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::16e74e69d8f0a8f0287e402a2c7cac66
https://hdl.handle.net/11250/2726087
https://hdl.handle.net/11250/2726087
Autor:
Ulrik Wisløff, J J Silva, José Bianco Nascimento Moreira, Dorthe Stensvold, Einar Ryeng, Anja Bye
Publikováno v:
European Heart Journal. 40
Abstract Background: Low maximal oxygen uptake (VO2max) is a strong and independent risk factor for all-cause and cardiovascular disease (CVD) mortality. Although physical activity is a major determinant of VO2maxlevel, genetics contribution is estim
Autor:
Stine Marie Ulven, Einar Ryeng, Magne Thoresen, Clara-Cecilie Günther, Kirsten B. Holven, Marit Holden, Inger Ottestad, Achim Kohler, Kirsti W. Brønner, Grethe Iren A. Borge, Mari C. W. Myhrstad
Publikováno v:
Journal of Internal Medicine
Background. Fish oil supplementation has been shown to alter gene expression of mononuclear cells both in vitro and in vivo. However, little is known about the total transcriptome profile in healthy subjects after intake of fish oil. We therefore inv
Publikováno v:
Statistics in medicine. 37(28)
We consider cross-sectional genetic association studies (common and rare variants) where non-genetic information is available or feasible to obtain for N individuals, but where it is infeasible to genotype all N individuals. We consider continuously
Autor:
Jostein Johansen, Hans Kristian Kotlar, Mimmi Throne-Holst, Anna Lewin, Sidsel Markussen, Asgeir Winnberg, Einar Ryeng, Philip Ringrose, Kjetill S. Jakobsen, Finn Drabløs, Svein Valla, Thomas H A Haverkamp, Trine Aakvik
Publikováno v:
Environmental Microbiology Reports. 3:674-681
Microorganisms colonize a variety of extreme environments, and based on cultivation studies and analyses of PCR-amplified 16S rDNA sequences, microbial life appears to extend deep into the earth crust. However, none of these studies involved comprehe
Autor:
Bjørn K. Alsberg, Einar Ryeng
Publikováno v:
Journal of Chemometrics. 24:231-240
There exists many databases containing information on genes that are useful for background information in machine learning analysis of microarray data. The gene ontology and gene ontology annotation projects are among the most comprehensive of these.
Autor:
Inger Ottestad, Einar Ryeng, Clara-Cecilie Günther, Kirsti W. Brønner, Mari C. W. Myhrstad, Kirsten B. Holven, Stine Marie Ulven, Marit Holden, Grethe Iren A. Borge, Astrid Nilsson, Achim Kohler
Publikováno v:
Genes & Nutrition
Background: Marine long-chain polyunsaturated fatty acids are susceptible to oxidation, generating a range of different oxidation products with suggested negative health effects. The aim of the present study was to utilize sensitive high-throughput t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0182bb476e6312ed21a98d33d6a28111
http://hdl.handle.net/11250/2423278
http://hdl.handle.net/11250/2423278
Publikováno v:
Journal of Computer-Aided Molecular Design. 20:361-373
The requirement of aligning each individual molecule in a data set severely limits the type of molecules which can be analysed with traditional structure activity relationship (SAR) methods. A method which solves this problem by using relations betwe