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Use of Data Mining for Intelligent Evaluation of Imputation Methods
In real-world situations, researchers frequently face the difficulty of missing values (MV), i.e., values not observed in a data set. Data imputation techniques allow the estimation of MV using different algorithms, by ...
Genotype imputation in a tropical crossbred dairy cattle population
(2017-12-01)
The objective of this study was to investigate different strategies for genotype imputation in a population of crossbred Girolando (Gyr × Holstein) dairy cattle. The data set consisted of 478 Girolando, 583 Gyr, and 1,198 ...
Imputation accuracy to whole-genome sequence in Nellore cattle
(2021-12-01)
Background: A cost-effective strategy to explore the complete DNA sequence in animals for genetic evaluation purposes is to sequence key ancestors of a population, followed by imputation mechanisms to infer marker genotypes ...
Objective Imputation in Peruvian Case LawLa imputación objetiva en la jurisprudencia peruana
(Pontificia Universidad Católica del Perú, 2007)
A influência da variabilidade dos dados na qualidade de imputação de dados faltantes
(Universidade Federal de Santa MariaBrasilUFSMCentro de Ciências Naturais e Exatas, 2019-03-26)
Imputation methods were developed with the purpose of defining estimates for missing
data in a database and, in this way, solving possible problems generated by the loss
of such information. In this study the objective ...
What is subjective in an objective imputation judgement: A theoretical aporia?LO SUBJETIVO EN EL JUICIO DE IMPUTACIÓN OBJETIVA: ¿APORÍA TEÓRICA?
(Universidad Austral de Chile, Facultad de Ciencias Jurídicas y Sociales., 2010)
Strategies for single nucleotide polymorphism (SNP) genotyping to enhance genotype imputation in Gyr (Bos indicus) dairy cattle: Comparison of commercially available SNP chips
(Elsevier B.V., 2015-07-01)
Genotype imputation is widely used as a cost-effective strategy in genomic evaluation of cattle. Key determinants of imputation accuracies, such as linkage disequilibrium patterns, marker densities, and ascertainment bias, ...