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						<h1 itemprop="headline">Statistical models for genomic prediction in animals and plants</h1>
						

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							<p class="text--intro" itemprop="description"><p>MSc / PhD summer course,  in collaboration with the Norwegian University of Life Sciences (NMBU)</p></p>
						
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													Monday <span class="u-avoid-wrap">26  <span class="au_news_events_month">June 2017,&nbsp;</span><span class="u-avoid-wrap">at 08:00</span></span> - 												Friday <span class="u-avoid-wrap">30  <span class="au_news_events_month">June 2017,&nbsp;</span><span class="u-avoid-wrap">at 16:00</span></span>
													<p class="news-event__info__item__ical-link"><a href="/en/qgg-news/artikel/statistical-models-for-genomic-prediction-in-animals-and-plants-1?tx_news_pi1%5Bformat%5D=ical&amp;type=9819&amp;cHash=b450390205cd756417aecc7fe034e261">Add to calendar</a></p>
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														<span itemprop="name">Jette Odgaard Villemoes</span>
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									<p>The course focuses on the quantitative genetics and statistical background of different genomic prediction models, also covering estimation of variance components, theory on genomic heritabilities, Bayesian statistics, estimation of hyper parameters in Bayesian models, multi-trait models and simple genomic feature models. Use of all models will be trained in computer practicals with the objective that students obtain an understanding of the statistical principles of the different models, and will be able to analyze data and critically assess the results from different statistical approaches.
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<p><strong>Teachers:</strong> Luc Janss (AU), Theo Meuwissen (NMBU)
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<p><strong>ECTS: </strong>&nbsp;MSc course 5 , PhD course 3
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<p>Here you can read the full course description. For direct access to the registration page, click here. 
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<p><em>Here you can read&nbsp;<a href="http://phd.au.dk/gradschools/scienceandtechnology/courses/scientific-courses/kurser-2017/mbg/statistical-models-for-genomic-prediction-in-animals-and-plants/" target="_blank" rel="noreferrer">the full course description</a>.</em>
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<p><em>For direct access to the registration page,&nbsp;<a href="https://auws.au.dk/forms/frm1Arrangement.aspx?value=636251681362297254&amp;id=32491" target="_blank" rel="noreferrer">click here</a>.</em></p>
								
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