Výsledky vyhledávání - "Günther, Frauke"

Akademický článek

Artificial neural networks modeling gene-environment interaction

Autor: Günther Frauke, Pigeot Iris, Bammann Karin

Publikováno v: BMC Genetics, Vol 13, Iss 1, p 37 (2012)

Abstract Background Gene-environment interactions play an important role in the etiological pathway of complex diseases. An appropriate statistical method for handling a wide variety of complex situations involving interactions between variables is s

Externí odkaz: https://doaj.org/article/9f6541751aa04fc3aa3bf62dc4fd9db4

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Akademický článek

Neural networks for modeling gene-gene interactions in association studies

Autor: Bammann Karin, Wawro Nina, Günther Frauke

Publikováno v: BMC Genetics, Vol 10, Iss 1, p 87 (2009)

Abstract Background Our aim is to investigate the ability of neural networks to model different two-locus disease models. We conduct a simulation study to compare neural networks with two standard methods, namely logistic regression models and multif

Externí odkaz: https://doaj.org/article/2f3178a64f19495aa4fca1624e45b0cb

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Examples of sex/gender sensitivity in epidemiological research: results of an evaluation of original articles published in JECH 2006–2014

Autor: Jahn, Ingeborg, Börnhorst, Claudia, Günther, Frauke, Brand, Tilman

Publikováno v: Health research policy and systems, 15:11
Health Research Policy and Systems

Background During the last decades, sex and gender biases have been identified in various areas of biomedical and public health research, leading to compromised validity of research findings. As a response, methodological requirements were developed

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=pmid_dedup__::6c59519ef34f573229fb6be9a2e8e037
https://repository.publisso.de/resource/frl:6402903

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Does the FTO gene interact with the socioeconomic status on the obesity development among young European children? Results from the IDEFICS study

Autor: Foraita, Ronja, Günther, Frauke, Gwozdz, Wencke, Reisch, Lucia A., Russo, Paola, Lauria, Fabio, Siani, Alfonso, Veidebaum, Toomas, Tornaritis, Michael, Iacoviello, Licia, Vyncke, Krishna, Pitsiladis, Yannis, Mårild, Staffan, Molnár, Dénes, Moreno, Luis A., Bammann, Karin, Pigeot, Iris, The IDEFICS consortium

Publikováno v: International journal of obesity, 39:1-6
International journal of obesity 39 (2015): 1–6. doi:10.1038/ijo.2014.156
info:cnr-pdr/source/autori:Foraita, R.; Guenther, F.; Gwozdz, W.; Reisch, L. A.; Russo, P.; Lauria, F.; Siani, A.; Veidebaum, T.; Tornaritis, M.; Iacoviello, L.; Vyncke, K.; Pitsiladis, Y.; Marild, S.; Molnar, D.; Moreno, L. A.; Bammann, K.; Pigeot, I./titolo:Does the FTO gene interact with the socioeconomic status on the obesity development among young European children? Results from the IDEFICS study/doi:10.1038%2Fijo.2014.156/rivista:International journal of obesity/anno:2015/pagina_da:1/pagina_a:6/intervallo_pagine:1–6/volume:39

Background: Various twin studies revealed that the influence of genetic factors on psychological diseases or behaviour is more expressed in socioeconomically advantaged environments. Other studies predominantly show an inverse association between soc

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f779fdacc022ee17be4f4c095e6293ce
https://doi.org/10.1038/ijo.2014.156

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Artificial neural networks in genetic epidemiology

Autor: Günther, Frauke

Gene-gene and gene-environment interactions play an important role in the etiological pathway of many complex diseases. However, common statistical methods like regression models have problems to capture the complex interplay between genetic and non-

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od_______139::3af900dbddad8633ce0bbf49d2effd99
https://media.suub.uni-bremen.de/handle/elib/371

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