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T Mary-Huard

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Bioinformatics (Oxford, England)|August 28, 2014

Two-dimensional segmentation for analyzing Hi-C dataCeline Lévy-Leduc, M Delattre, T Mary-Huard, et al.

Journal of Dairy Science|February 3, 2016

Characterizing individual differences in animal responses to a nutritional challenge: Toward improved robustness measuresN C Friggens, C Duvaux-Ponter, M P Etienne, et al.

Journal of Dairy Science|April 19, 2025

Deep learning and genomic best linear unbiased prediction integration: An approach to identify potential nonlinear genetic relationships between traitsF Shokor, P Croiseau, H Gangloff, et al.

TAG. Theoretical and Applied Genetics. Theoretische Und Angewandte Genetik|December 4, 2016

General and specific combining abilities in a maize (Zea mays L.) test-cross hybrid panel: relative importance of population structure and genetic divergence between parentsA Larièpe, L Moreau, J Laborde, et al.

Pageof 1

Search research articles

Showing results (1-10 of 4) with videos related to

Sort By:

Pageof 1

Bioinformatics (Oxford, England)|August 28, 2014

Two-dimensional segmentation for analyzing Hi-C dataCeline Lévy-Leduc, M Delattre, T Mary-Huard, et al.

Journal of Dairy Science|February 3, 2016

Characterizing individual differences in animal responses to a nutritional challenge: Toward improved robustness measuresN C Friggens, C Duvaux-Ponter, M P Etienne, et al.

Journal of Dairy Science|April 19, 2025

Deep learning and genomic best linear unbiased prediction integration: An approach to identify potential nonlinear genetic relationships between traitsF Shokor, P Croiseau, H Gangloff, et al.

TAG. Theoretical and Applied Genetics. Theoretische Und Angewandte Genetik|December 4, 2016

General and specific combining abilities in a maize (Zea mays L.) test-cross hybrid panel: relative importance of population structure and genetic divergence between parentsA Larièpe, L Moreau, J Laborde, et al.

Pageof 1