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Zeitschriftenartikel (153)

1.
Zeitschriftenartikel
Mbebi, A. J., Tong, H. & Nikoloski, Z. L2,1-norm regularized multivariate regression model with applications to genomic prediction. Bioinformatics (2021). doi:10.1093/bioinformatics/btab212
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Nowak, J., Eng, R. C., Matz, T., Waack, M., Persson, S., Sampathkumar, A. & Nikoloski, Z. A network-based framework for shape analysis enables accurate characterization of leaf epidermal cells. Nature Communications 12, (2021).
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Omranian, N., Angeleska, A. & Nikoloski, Z. PC2P: parameter-free network-based prediction of protein complexes. Bioinformatics 10, (2021).
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Pries, C., Razaghi-Moghadam, Z., Kopka, J. & Nikoloski, Z. Integration of relative metabolomics and transcriptomics time-course data in a metabolic model pinpoints effects of ribosome biogenesis defects on Arabidopsis thaliana metabolism. Scientific Reports 11, (2021).
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Tong, H. & Nikoloski, Z. Machine learning approaches for crop improvement: Leveraging phenotypic and genotypic big data. Journal of Plant Physiology 257, (2021).
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Razaghi-Moghadam, Z. & Nikoloski, Z. GeneReg: A constraint-based approach for design of feasible metabolic engineering strategies at the gene level. Bioinformatics (2020). doi:10.1093/bioinformatics/btaa996
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Nowak, J., Gennermann, K., Persson, S. & Nikoloski, Z. CytoSeg 2.0: automated extraction of actin filaments. Bioinformatics 36, 2950–2951 (2020).
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Clemente-Moreno, M. J., Omranian, N., Sáez, P. L., Figueroa, C. M., Del-Saz, N., Elso, M., Poblete, L., Orf, I., Cuadros-Inostroza, A., Cavieres, L. A., Bravo, L., Fernie, A. R., Ribas-Carbó, M., Flexas, J., Nikoloski, Z., Brotman, Y. & Gago, J. Low temperature tolerance of the Antarctic species Deschampsia antarctica: a complex metabolic response associated with nutrient remobilization. Plant, Cell and Environment 43, 1376–1393 (2020).
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Correa, S. M., Alseekh, S., Atehortúa, L., Brotman, Y., Ríos-Estepa, R., Fernie, A. R. & Nikoloski, Z. Model-assisted identification of metabolic engineering strategies for Jatropha curcas lipid pathways. The Plant Journal 104, 76–95
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Correa, S. M., Fernie, A. R., Nikoloski, Z. & Brotman, Y. Towards model-driven characterization and manipulation of plant lipid metabolism. Progress in Lipid Research 80, (2020).
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Küken, A., Gennermann, K. & Nikoloski, Z. Characterization of maximal enzyme catalytic rates in central metabolism of Arabidopsis thaliana. The Plant Journal 103, 2168–2177 (2020).
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Lyall, R., Nikoloski, Z. & Gechev, T. Comparative analysis of ros network genes in extremophile eukaryotes. International Journal of Molecular Sciences 21, 1–27 (2020).
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Razaghi-Moghadam, Z. & Nikoloski, Z. Supervised Learning of Gene Regulatory Networks. Current Protocols in Plant Biology 5, (2020).
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Robaina-Estévez, S. R. & Nikoloski, Z. Flux-based hierarchical organization of Escherichia coli’s metabolic network. PLoS Computational Biology 16, (2020).
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Tong, H., Küken, A. & Nikoloski, Z. Integrating molecular markers into metabolic models improves genomic selection for Arabidopsis growth. Nature Communications 11, (2020).
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Angeleska, A. & Nikoloski, Z. Coherent network partitions. Discrete applied mathematics 266, 283–290 (2019).
17.
Zeitschriftenartikel
Clemente-Moreno, J. M., Omranian, N., Sáez, P., Figueroa, C. M., Del-Saz, N., Elso, M., Poblete, L., Orf, I., Cuadros-Inostroza, A., Cavieres, L., Bravo, L., Fernie, A. R., Ribas-Carbó, M., Flexas, J., Nikoloski, Z., Brotman, Y. & Gago, J. Cytochrome respiration pathway and sulphur metabolism sustain stress tolerance to low temperature in the Antarctic species Colobanthus quitensis. New Phytologist 225, 754–768 (2019).
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Zeitschriftenartikel
Ferrari, C., Proost, S., Janowski, M., Becker, J., Nikoloski, Z., Bhattacharya, D., Price, D., Tohge, T., Bar-Even, A., Fernie, A. R., Stitt, M. & Mutwil, M. Kingdom-wide comparison reveals the evolution of diurnal gene expression in Archaeplastida. Nature Communications 10, (2019).
19.
Zeitschriftenartikel
Küken, A. & Nikoloski, Z. Computational Approaches to Design and Test Plant Synthetic Metabolic Pathways. Plant Physiology 179, 894–906 (2019).
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Küken, A., Eloundou-Mbebi, J. M. O., Basler, G. & Nikoloski, Z. Cellular determinants of metabolite concentration ranges. PLoS Computational Biology 15, (2019).
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