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Self-Organizing Maps for Imputation of Missing Data in Incomplete Data Matrices
(Elsevier Science Bv, 2015)
Protein structure calculation with data imputation: the use of substitute restraints
(Springer NetherlandsDordrecht, 2009-12)
The amount of experimental restraints e.g., NOEs is often too small for calculating high quality threedimensional structures by restrained molecular dynamics. Considering this as a typical missing value problem we propose ...
Imputation of genetic composition for missing pedigree data in Serrasalmidae using morphometric data
(Univ Sao Paolo, 2017-11-01)
This study aimed to impute the genetic makeup of individual fishes of Serrasalmidae family on the basis of body weight and morphometric measurements. Eighty-three juveniles, belonging to the genetic groups Pacu, Pirapitinga, ...
Water-quality data imputation with a high percentage of missing values : A machine learning approach
(MDPI, 2021)
The monitoring of surface-water quality followed by water-quality modeling and analysis are essential for generating effective strategies in surface-water-resource management. However, worldwide, particularly in developing ...
Imputation of missing data in photovoltaic panel monitoring system
(Universidad Nacional del Altiplano. Repositorio InstitucionalPE, 2022)
Accuracy of genotype imputation to whole genome sequencing level using different populations of Nile tilapia
(2022-03-30)
A cost-effective strategy to obtain ultra-dense genomic information is to sequence part of population and perform imputation from lower density genotypes to sequence level for the remaining animals. The aims of this study ...