Search results
Results: 5
Number of items: 5
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Zhang, J., Wang, B., Xu, H., Liu, W., Yu, J., Wang, Q., Yu, H., Wei, J.-W., Dai, R., Zhou, J., He, Y., Zou, D., Yang, J., Ban, X., Hu, Q., Meng, X., Liu, Y.-X., Wang, B., Hu, B., ... Bai, Y. (2025). Root microbiota regulates tiller number in rice. Cell, 188(12), 3152-3166.e16. https://doi.org/10.1016/j.cell.2025.03.033 -
Avagyan, V., Boer, M. P., Solin, J., van Dijk, A. D. J., Bustos-Korts, D., van Rossum, B. J., Ramakers, J. J. C., van Eeuwijk, F., & Kruijer, W. (2025). Penalized factorial regression as a flexible and computationally attractive reaction norm model for prediction in the presence of GxE. Theoretical and Applied Genetics, 138(4), Article 88. https://doi.org/10.1007/s00122-025-04865-4
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Noordijk, B., Reinders, M., van Dijk, A. D. J., & de Ridder, D. (2025). BADDADAN: Mechanistic modelling of time-series gene module expression. Quantitative Plant Biology, 6, Article e31. https://doi.org/10.1017/qpb.2025.10017
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Sun, W., Zhang, Z., Bonnema, G., Wang, X., & van Dijk, A. D. J. (2024). Gene expression, transcription factor binding and histone modification predict leaf adaxial–abaxial polarity related genes. Horticultural Plant Journal, 10(4), 971-982. https://doi.org/10.1016/j.hpj.2024.06.002
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Noordijk, B., Garcia Gomez, M. L., ten Tusscher, K. H. W. J., de Ridder, D., van Dijk, A. D. J., & Smith, R. W. (2024). The rise of scientific machine learning: a perspective on combining mechanistic modelling with machine learning for systems biology. Frontiers in Systems Biology, 4, Article 1407994. https://doi.org/10.3389/fsysb.2024.1407994
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