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Here, we evaluate the influence of outliers on the performance of methods for accuracy estimation in genomic prediction studies using simulation.
More precisely, we simulated 1000 datasets for each of 10 scenarios to evaluate the magnitude and direction of the influence of outliers on estimates of predictive accuracy for seven contending methods for accuracy estimation in genomic prediction.
This article expands on the article by Estaghvirou et al. (2013) by contaminating the phenotypic datasets simulated for that article with outliers to assess their influence on the methods for accuracy estimation in genomic prediction.
It is therefore crucial to evaluate and rank contending methods for accuracy estimation in genomic prediction in terms of their estimated predictive accuracies and degree of robustness to outliers in phenotypic datasets.
Because data cleaning procedures are imperfect and do not always succeed in detecting and eliminating all true outliers, it is important to assess the performance and robustness of methods for accuracy estimation in the presence of outliers in genomic prediction studies.
Similar(54)
Mass spectrometry method was employed as a certified method for accuracy.
The method for accuracy in predicting values regarding the Sini of BFEB connection is also discussed.
The use of a reference object is certainly the most reliable method for accuracy estimation of the system.
This paper presents a volumetric error analysis and an architecture optimization method for accuracy of parallel manipulators.
Blashfield [16] compared four types of hierarchical clustering methods (single linkage, complete linkage, average linkage and Ward's method) for accuracy in recovery of original population clusters.
For many very common words in English such as "come", "once", "was", "the", the best method for accuracy is to read them as "sight" words - that is, using the strategy of look and say.
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