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Journal of Plant Physiology|January 1, 2021
Machine learning approaches for crop improvement: Leveraging phenotypic and genotypic big dataHao Tong, Zoran NikoloskiNature Communications|May 17, 2020
Integrating molecular markers into metabolic models improves genomic selection for Arabidopsis growthHao Tong, Anika Küken, Zoran NikoloskiBioinformatics (Oxford, England)|March 28, 2021
L2,1-norm regularized multivariate regression model with applications to genomic predictionAlain J Mbebi, Hao Tong, Zoran NikoloskiThe New Phytologist|July 28, 2023
Predicting plasticity of rosette growth and metabolic fluxes in Arabidopsis thalianaHao Tong, Roosa A E Laitinen, Zoran NikoloskiCellular and Molecular Life Sciences : CMLS|May 5, 2021
Characterization of effects of genetic variants via genome-scale metabolic modellingHao Tong, Anika Küken, Zahra Razaghi-Moghadam, et al.TAG. Theoretical and Applied Genetics. Theoretische Und Angewandte Genetik|February 6, 2026
Comparative analysis of genomic prediction approaches for multiple time-resolved traits in maizeDavid Hobby, Robin Lindner, Alain J Mbebi, et al.Briefings in Bioinformatics|May 13, 2025
Advances in multi-trait genomic prediction approaches: classification, comparative analysis, and perspectivesAlain J Mbebi, Facundo Mercado, David Hobby, et al.Quantitative Plant Biology|April 20, 2023
Heritability of temperature-mediated flower size plasticity in <i>Arabidopsis thaliana</i>Gregory M Andreou, Michaela Messer, Hao Tong, et al.Bioinformatics (Oxford, England)|August 2, 2011
JMassBalance: mass-balanced randomization and analysis of metabolic networksGeorg Basler, Zoran NikoloskiBioinformatics (Oxford, England)|July 28, 2014
img2net: automated network-based analysis of imaged phenotypesDavid Breuer, Zoran NikoloskiPageof 42