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Patrik Waldmann

Showing results (21-30 of 31) with videos related to

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G3 (Bethesda, Md.)|September 9, 2024
Sub-sampling graph neural networks for genomic prediction of quantitative phenotypesRagini Kihlman, Ilkka Launonen, Mikko J Sillanpää, et al.
Journal of the American Statistical Association|August 3, 2010
Hierarchical Spatial Process Models for Multiple Traits in Large Genetic TrialsSudipto Banerjee, Andrew O Finley, Patrik Waldmann, et al.
Biometrics|September 2, 2008
Hierarchical spatial modeling of additive and dominance genetic variance for large spatial trial datasetsAndrew O Finley, Sudipto Banerjee, Patrik Waldmann, et al.
Bioinformatics (Oxford, England)|April 10, 2004
BAPS 2: enhanced possibilities for the analysis of genetic population structureJukka Corander, Patrik Waldmann, Pekka Marttinen, et al.
Genetics, Selection, Evolution : GSE|June 4, 2026
Interpretable machine learning for cattle breed classification and SNP prioritizationFarzad Atrian-Afiani, Gábor Mészáros, Johann Sölker, et al.
Frontiers in Genetics|December 24, 2013
Evaluation of the lasso and the elastic net in genome-wide association studiesPatrik Waldmann, Gábor Mészáros, Birgit Gredler, et al.
The Journal of Dairy Research|September 5, 2020
Modeling cow somatic cell count using sensor data as input to generalized additive modelsDorota Anglart, Charlotte Hallén-Sandgren, Patrik Waldmann, et al.
BMC Bioinformatics|April 4, 2019
AUTALASSO: an automatic adaptive LASSO for genome-wide predictionPatrik Waldmann, Maja Ferenčaković, Gábor Mészáros, et al.
Annals of Botany|March 23, 2013
Genetic changes in flowering and morphology in response to adaptation to a high-latitude environment in Arabidopsis lyrataBénédicte Quilot-Turion, Johanna Leppälä, Päivi H Leinonen, et al.
Oncotarget|November 12, 2015
Radiation and SN38 treatments modulate the expression of microRNAs, cytokines and chemokines in colon cancer cells in a p53-directed mannerSurajit Pathak, Wen-Jian Meng, Suman Kumar Nandy, et al.
Pageof 4

Showing results (21-30 of 31) with videos related to

Sort By:
Pageof 4
G3 (Bethesda, Md.)|September 9, 2024
Sub-sampling graph neural networks for genomic prediction of quantitative phenotypesRagini Kihlman, Ilkka Launonen, Mikko J Sillanpää, et al.
Journal of the American Statistical Association|August 3, 2010
Hierarchical Spatial Process Models for Multiple Traits in Large Genetic TrialsSudipto Banerjee, Andrew O Finley, Patrik Waldmann, et al.
Biometrics|September 2, 2008
Hierarchical spatial modeling of additive and dominance genetic variance for large spatial trial datasetsAndrew O Finley, Sudipto Banerjee, Patrik Waldmann, et al.
Bioinformatics (Oxford, England)|April 10, 2004
BAPS 2: enhanced possibilities for the analysis of genetic population structureJukka Corander, Patrik Waldmann, Pekka Marttinen, et al.
Genetics, Selection, Evolution : GSE|June 4, 2026
Interpretable machine learning for cattle breed classification and SNP prioritizationFarzad Atrian-Afiani, Gábor Mészáros, Johann Sölker, et al.
Frontiers in Genetics|December 24, 2013
Evaluation of the lasso and the elastic net in genome-wide association studiesPatrik Waldmann, Gábor Mészáros, Birgit Gredler, et al.
The Journal of Dairy Research|September 5, 2020
Modeling cow somatic cell count using sensor data as input to generalized additive modelsDorota Anglart, Charlotte Hallén-Sandgren, Patrik Waldmann, et al.
BMC Bioinformatics|April 4, 2019
AUTALASSO: an automatic adaptive LASSO for genome-wide predictionPatrik Waldmann, Maja Ferenčaković, Gábor Mészáros, et al.
Annals of Botany|March 23, 2013
Genetic changes in flowering and morphology in response to adaptation to a high-latitude environment in Arabidopsis lyrataBénédicte Quilot-Turion, Johanna Leppälä, Päivi H Leinonen, et al.
Oncotarget|November 12, 2015
Radiation and SN38 treatments modulate the expression of microRNAs, cytokines and chemokines in colon cancer cells in a p53-directed mannerSurajit Pathak, Wen-Jian Meng, Suman Kumar Nandy, et al.
Pageof 4