Comparison of three boosting methods in parent-offspring trios for genotype imputation using simulation study

Comparison of three boosting methods in parent-offspring trios for genotype imputation using simulation study

Abstract Background Genotype imputation is an important process of predicting unknown genotypes, which uses reference population with dense genotypes to predict missing genotypes for both human and animal genetic variations at a low cost. Machine learning methods specially boosting methods have been...

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Bibliographic Details
Main Authors: Abbas Mikhchi, Mahmood Honarvar, Nasser Emam Jomeh Kashan, Saeed Zerehdaran, Mehdi Aminafshar
Format: Article
Language:English
Published: Korean Society of Animal Sciences and Technology 2016-01-01
Series:Journal of Animal Science and Technology
Subjects:
Trios
Boosting methods
Imputation accuracy
Computation time
Online Access:http://link.springer.com/article/10.1186/s40781-015-0081-1

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http://link.springer.com/article/10.1186/s40781-015-0081-1

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