Results 31 to 40 of about 248,303 (301)
To Impute or Not To Impute in Untargeted Metabolomics─That is the Compositional Question [PDF]
Journal of the American Society for Mass SpectrometryABSTRACT Untargeted metabolomics often produce large datasets with missing values, arising from biological or technical factors, which can undermine statistical analyses and lead to biased biological interpretations. Imputation methods, such as k-Nearest Neighbors (kNN) and Random Forest (RF) regression are commonly used but their ...
Dennis Dimitri Krutkin +6 more
openaire +2 more sources
Animals, 2023 As optimization methods to identify the best animals for dense genotyping to construct a reference population for genotype imputation, the MCA and MCG methods, which use the pedigree-based additive genetic relationship matrix (A matrix) and the genomic ...
Shinichiro Ogawa +3 more
doaj +1 more source
Inclusion of imputed genotypes from non-genotyped dairy cattle in a Thai multibreed genomic-polygenic evaluation [PDF]
Animal BioscienceObjective This study assessed the impact of incorporating imputed single nucleotide polymorphism (SNP) information from non-genotyped animals on genomic-polygenic evaluations in a Thai multibreed dairy population under various levels of imputation ...
Danai Jattawa +3 more
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Metabolites, 2022 Metabolites are intermediates or end products of biochemical processes involved in both health and disease. Here, we take advantage of the well-characterized Cooperative Health Research in South Tyrol (CHRIS) study to perform an exome-wide association ...
Eva König +11 more
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Genotype Imputation to Improve the Cost-Efficiency of Genomic Selection in Rabbits
Animals, 2021 Genomic selection uses genetic marker information to predict genomic breeding values (gEBVs), and can be a suitable tool for selecting low-hereditability traits such as litter size in rabbits.
Enrico Mancin +3 more
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Design of an imputation methodology by random selection using regression trees
Bulletin of Computational Applied Mathematics, 2021 One of the biggest issues in the information collection stage is the absence of data, this research focuses specifically on the scenario when the loss is partial, completely random and the data is quantitative. There are classic techniques to impute data,
Lelly Useche +3 more
doaj
Completing a molecular timetree of apes and monkeys
Frontiers in Bioinformatics, 2023 The primate infraorder Simiiformes, comprising Old and New World monkeys and apes, includes the most well-studied species on earth. Their most comprehensive molecular timetree, assembled from thousands of published studies, is found in the TimeTree ...
Jack M. Craig +12 more
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Animal, 2013 Imputation of high-density genotypes from low- or medium-density platforms is a promising way to enhance the efficiency of whole-genome selection programs at low cost.
Z. Weng +5 more
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Journal of Dairy Science, 2022 : The objective of this study was to estimate inbreeding coefficients in Holstein dairy cattle using imputed SNPs data. A data set of 95,540 Italian Holstein dairy cows from the routine genomic evaluations of the Italian National Association of Holstein,
Christos Dadousis +7 more
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Applied Sciences, 2022 The data obtained from air quality monitoring stations, which are used to carry out studies using data mining techniques, present the problem of missing values. This paper describes a research work on missing data imputation.
Luis Alfonso Menéndez García +6 more
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