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Patrik Waldmann

Showing results (11-20 of 31) with videos related to

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BMC Bioinformatics|October 4, 2024
Tabular deep learning: a comparative study applied to multi-task genome-wide predictionYuhua Fan, Patrik Waldmann
TAG. Theoretical and Applied Genetics. Theoretische Und Angewandte Genetik|March 18, 2006
Comparison of REML and Gibbs sampling estimates of multi-trait genetic parameters in Scots pinePatrik Waldmann, Tore Ericsson
BMC Bioinformatics|July 7, 2025
Multi-task genomic prediction using gated residual variable selection neural networksYuhua Fan, Patrik Waldmann
TAG. Theoretical and Applied Genetics. Theoretische Und Angewandte Genetik|February 3, 2009
Optimum contribution selection in large general tree breeding populations with an application to Scots pineJon Hallander, Patrik Waldmann
IEEE Transactions on Computational Biology and Bioinformatics|December 9, 2025
A Proximal Multi-Objective Optimization Method for Incorporation of Polygenic Breeding Values in Genomic PredictionPatrik Waldmann, Yuhua Fan
Frontiers in Genetics|March 3, 2020
Sparse Convolutional Neural Networks for Genome-Wide PredictionPatrik Waldmann, Christina Pfeiffer, Gábor Mészáros
Genetics|February 15, 2003
Bayesian analysis of genetic differentiation between populationsJukka Corander, Patrik Waldmann, Mikko J Sillanpää
Genetics|March 31, 2010
Bayesian inference of genetic parameters based on conditional decompositions of multivariate normal distributionsJon Hallander, Patrik Waldmann, Chunkao Wang, et al.
Briefings in Bioinformatics|May 25, 2026
Proximal regularization of deep residual neural networks applied to high-dimensional genomic dataYuhua Fan, Ilkka Launonen, Mikko J Sillanpää, et al.
Genetics|June 19, 2008
Efficient Markov chain Monte Carlo implementation of Bayesian analysis of additive and dominance genetic variances in noninbred pedigreesPatrik Waldmann, Jon Hallander, Fabian Hoti, et al.
Pageof 4

Showing results (11-20 of 31) with videos related to

Sort By:
Pageof 4
BMC Bioinformatics|October 4, 2024
Tabular deep learning: a comparative study applied to multi-task genome-wide predictionYuhua Fan, Patrik Waldmann
TAG. Theoretical and Applied Genetics. Theoretische Und Angewandte Genetik|March 18, 2006
Comparison of REML and Gibbs sampling estimates of multi-trait genetic parameters in Scots pinePatrik Waldmann, Tore Ericsson
BMC Bioinformatics|July 7, 2025
Multi-task genomic prediction using gated residual variable selection neural networksYuhua Fan, Patrik Waldmann
TAG. Theoretical and Applied Genetics. Theoretische Und Angewandte Genetik|February 3, 2009
Optimum contribution selection in large general tree breeding populations with an application to Scots pineJon Hallander, Patrik Waldmann
IEEE Transactions on Computational Biology and Bioinformatics|December 9, 2025
A Proximal Multi-Objective Optimization Method for Incorporation of Polygenic Breeding Values in Genomic PredictionPatrik Waldmann, Yuhua Fan
Frontiers in Genetics|March 3, 2020
Sparse Convolutional Neural Networks for Genome-Wide PredictionPatrik Waldmann, Christina Pfeiffer, Gábor Mészáros
Genetics|February 15, 2003
Bayesian analysis of genetic differentiation between populationsJukka Corander, Patrik Waldmann, Mikko J Sillanpää
Genetics|March 31, 2010
Bayesian inference of genetic parameters based on conditional decompositions of multivariate normal distributionsJon Hallander, Patrik Waldmann, Chunkao Wang, et al.
Briefings in Bioinformatics|May 25, 2026
Proximal regularization of deep residual neural networks applied to high-dimensional genomic dataYuhua Fan, Ilkka Launonen, Mikko J Sillanpää, et al.
Genetics|June 19, 2008
Efficient Markov chain Monte Carlo implementation of Bayesian analysis of additive and dominance genetic variances in noninbred pedigreesPatrik Waldmann, Jon Hallander, Fabian Hoti, et al.
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