Modeling gene-by-environment interaction in comorbid depression with alcohol use disorders via an integrated bioinformatics approach

Autor: McEachin Richard C, Keller Benjamin J, Saunders Erika FH, McInnis Melvin G

Publikováno v: BioData Mining, Vol 1, Iss 1, p 2 (2008)

Abstract Background Comorbidity of Major Depressive Disorder (depression) and Alcohol Use Disorders (AUD) is well documented. Depression, AUD, and the comorbidity of depression with AUD show evidence of genetic and environmental influences on suscept

Externí odkaz: https://doaj.org/article/6229ffad7dba453d955c5a653e3dfbe4

Evaluating Recommendation Algorithms by Graph Analysis

Autor: Mirza, Batul J., Keller, Benjamin J., Ramakrishnan, Naren

We present a novel framework for evaluating recommendation algorithms in terms of the `jumps' that they make to connect people to artifacts. This approach emphasizes reachability via an algorithm within the implicit graph structure underlying a recom

Externí odkaz: http://arxiv.org/abs/cs/0104009

Genetic studies of body mass index yield new insights for obesity biology

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Nature, 518(7538), 197. Nature Publishing Group
Nature
Nature, 518(7538), 197-U401
Nature, Vol. 518, No 7538 (2015) pp. 197-206
Nature, vol. 518, no. 7538, pp. 197-206
Nature 518(7538), 197-206 (2015). doi:10.1038/nature14177
Repositorio Institucional de la Consejería de Sanidad de la Comunidad de Madrid
Consejería de Sanidad de la Comunidad de Madrid
Locke, A E, Kahali, B, Berndt, S I, Justice, A E, Pers, T H, Day, F R, Powell, C, Vedantam, S, Buchkovich, M L, Yang, J, Croteau-Chonka, D C, Esko, T, Fall, T, Ferreira, T, Gustafsson, S, Kutalik, Z, Luan, J, Maegi, R, Randall, J C, Winkler, T W, Wood, A R, Workalemahu, T, Faul, J D, Smith, J A, Zhao, J H, Zhao, W, Chen, J, Fehrmann, R, Hedman, A K, Karjalainen, J, Schmidt, E M, Absher, D, Amin, N, Anderson, D, Beekman, M & Bolton, J L & Bragg-Gresham, L & Buyske, S & Demirkan, A & Deng, G & Fraser, R M & Hayward, C & McLachlan, S & Campbell, H & Morris, A D & Price, J F & Rudan, I & Walker, M & Wilson, J F & Visscher, P M 2015, ' Genetic studies of body mass index yield new insights for obesity biology ', Nature, vol. 518, no. 7538, pp. 197-U401 . https://doi.org/10.1038/nature14177
Nature, 518(7538), 197-U401. Nature Publishing Group
Nature, 518, 7538, pp. 197-206
Nature, 518, 197-206

Item does not contain fulltext Obesity is heritable and predisposes to many diseases. To understand the genetic basis of obesity better, here we conduct a genome-wide association study and Metabochip meta-analysis of body mass index (BMI), a measure

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https://research.vu.nl/en/publications/58992b26-1689-48dd-bb82-82548598fe61

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