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Julio Isidro

Showing results (1-10 of 42) with videos related to

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Scientific Reports|February 7, 2019
Design of training populations for selective phenotyping in genomic predictionDeniz Akdemir, Julio Isidro-Sánchez
Frontiers in Plant Science|September 30, 2021
Training Set Optimization for Sparse Phenotyping in Genomic Selection: A Conceptual OverviewJulio Isidro Y Sánchez, Deniz Akdemir
Axioms|June 7, 2023
An Expectation-Maximization Algorithm for Combining a Sample of Partially Overlapping Covariance MatricesDeniz Akdemir, Mohamed Somo, Julio Isidro-Sanchéz
TAG. Theoretical and Applied Genetics. Theoretische Und Angewandte Genetik|March 19, 2025
Maximizing the accuracy of genetic variance estimation and using a novel generalized effective sample size to improve simulationsJavier Fernández-González, Julio Isidro Y Sánchez
Plant Methods|February 5, 2025
Optimizing fully-efficient two-stage models for genomic selection using open-source softwareJavier Fernández-González, Julio Isidro Y Sánchez
Frontiers in Genetics|May 24, 2021
TrainSel: An R Package for Selection of Training PopulationsDeniz Akdemir, Simon Rio, Julio Isidro Y Sánchez
Methods in Molecular Biology (Clifton, N.J.)|January 30, 2017
Genome-Wide Association Analysis Using RJulio Isidro-Sánchez, Deniz Akdemir, Gracia Montilla-Bascón
Frontiers in Plant Science|August 9, 2020
Combining Partially Overlapping Multi-Omics Data in Databases Using Relationship MatricesDeniz Akdemir, Ron Knox, Julio Isidro Y Sánchez
Genetics, Selection, Evolution : GSE|October 19, 2017
Locally epistatic models for genome-wide prediction and association by importance samplingDeniz Akdemir, Jean-Luc Jannink, Julio Isidro-Sánchez
TAG. Theoretical and Applied Genetics. Theoretische Und Angewandte Genetik|March 9, 2023
A comparison of methods for training population optimization in genomic selectionJavier Fernández-González, Deniz Akdemir, Julio Isidro Y Sánchez
Pageof 5

Showing results (1-10 of 42) with videos related to

Sort By:
Pageof 5
Scientific Reports|February 7, 2019
Design of training populations for selective phenotyping in genomic predictionDeniz Akdemir, Julio Isidro-Sánchez
Frontiers in Plant Science|September 30, 2021
Training Set Optimization for Sparse Phenotyping in Genomic Selection: A Conceptual OverviewJulio Isidro Y Sánchez, Deniz Akdemir
Axioms|June 7, 2023
An Expectation-Maximization Algorithm for Combining a Sample of Partially Overlapping Covariance MatricesDeniz Akdemir, Mohamed Somo, Julio Isidro-Sanchéz
TAG. Theoretical and Applied Genetics. Theoretische Und Angewandte Genetik|March 19, 2025
Maximizing the accuracy of genetic variance estimation and using a novel generalized effective sample size to improve simulationsJavier Fernández-González, Julio Isidro Y Sánchez
Plant Methods|February 5, 2025
Optimizing fully-efficient two-stage models for genomic selection using open-source softwareJavier Fernández-González, Julio Isidro Y Sánchez
Frontiers in Genetics|May 24, 2021
TrainSel: An R Package for Selection of Training PopulationsDeniz Akdemir, Simon Rio, Julio Isidro Y Sánchez
Methods in Molecular Biology (Clifton, N.J.)|January 30, 2017
Genome-Wide Association Analysis Using RJulio Isidro-Sánchez, Deniz Akdemir, Gracia Montilla-Bascón
Frontiers in Plant Science|August 9, 2020
Combining Partially Overlapping Multi-Omics Data in Databases Using Relationship MatricesDeniz Akdemir, Ron Knox, Julio Isidro Y Sánchez
Genetics, Selection, Evolution : GSE|October 19, 2017
Locally epistatic models for genome-wide prediction and association by importance samplingDeniz Akdemir, Jean-Luc Jannink, Julio Isidro-Sánchez
TAG. Theoretical and Applied Genetics. Theoretische Und Angewandte Genetik|March 9, 2023
A comparison of methods for training population optimization in genomic selectionJavier Fernández-González, Deniz Akdemir, Julio Isidro Y Sánchez
Pageof 5