Publications of H. Tong

Zhu, F.; Alseekh, S.; Koper, K.; Tong, H.; Nikoloski, Z.; Naake, T.; Liu, H.; Yan, J.; Brotman, Y.; Wen, W. et al.; Maeda, H.; Cheng, Y.; Fernie, A. R.: Genome-wide association of the metabolic shifts underpinning dark-induced senescence in Arabidopsis. The Plant Cell (2021)

Mbebi, A. J.; Tong, H.; Nikoloski, Z.: L2,1-norm regularized multivariate regression model with applications to genomic prediction. Bioinformatics 37 (18), pp. 2896 - 2904 (2021)

Tong, H.; Küken, A.; Razaghi-Moghadam, Z.; Nikoloski, Z.: Characterization of effects of genetic variants via genome-scale metabolic modelling. Cellular and Molecular Life Sciences 78, pp. 5123 - 5138 (2021)

Tong, H.; Nikoloski, Z.: Machine learning approaches for crop improvement: Leveraging phenotypic and genotypic big data. Journal of Plant Physiology 257, 153354 (2021)

Tong, H.; Küken, A.; Nikoloski, Z.: Integrating molecular markers into metabolic models improves genomic selection for Arabidopsis growth. Nature Communications 11 (1), 2410 (2020)

Cubillos, A.; Tong, H.; Alseekh, S.; de Abreu e Lima, F.; Yu, J.; Fernie, A. R.; Nikoloski, Z.; Laitinen, R.: Inheritance patterns in metabolism and growth in diallel crosses of Arabidopsis thaliana from a single growth habitat. Heredity 120, pp. 463 - 473 (2018)

Vallarino, J. G.; de Abreu e Lima, F.; Soria, C.; Tong, H.; Pott, D. M.; Willmitzer, L.; Fernie, A. R.; Nikoloski, Z.; Osorio, S.: Genetic diversity of strawberry germplasm using metabolomic biomarkers. Scientific Reports 8 (1), 14386 (2018)

Wu, S.; Tohge, T.; Cuadros-Inostroza, A. C.; Tong, H.; Tenenboim, H.; Kooke, R.; Méret, M.; Keurentjes, J. B.; Nikoloski, Z.; Fernie, A. R. et al.; Willmitzer, L.; Brotman, Y.: Mapping the Arabidopsis Metabolic Landscape by Untargeted Metabolomics at Different Environmental Conditions. Molecular Plant 11 (1), pp. 118 - 134 (2018)