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Results: 715
Number of items: 715
  • Open Access
    Sheraton, M. V., Chiew, G. G. Y., Melnikov, V., Tan, E. Y., Luo, K. Q., Verma, N., & Sloot, P. M. A. (2020). Emergence of spatio-temporal variations in chemotherapeutic drug efficacy: in-vitro and in-Silico 3D tumour spheroid studies. BMC Cancer, 20, Article 1201. https://doi.org/10.1186/s12885-020-07677-5
  • Open Access
    Severiukhina, O., Kesarev, S., Bochenina, K., Boukhanovsky, A., Lees, M. H., & Sloot, P. M. A. (2020). Large-scale forecasting of information spreading. Journal of Big Data, 7, Article 72. https://doi.org/10.1186/s40537-020-00350-5
  • Open Access
    Crielaard, L., Dutta, P., Quax, R., Nicolaou, M., Merabet, N., Stronks, K., & Sloot, P. M. A. (2020). Social norms and obesity prevalence: From cohort to system dynamics models. Obesity Reviews, 21(9), Article e13044. https://doi.org/10.1111/obr.13044
  • Open Access
    Har-Shemesh, O., Quax, R., Lansing, J. S., & Sloot, P. M. A. (2020). Questionnaire data analysis using information geometry. Scientific Reports, 10, Article 8633. https://doi.org/10.1038/s41598-020-63760-8
  • Kovalchuk, S. V., Krzhizhanovskaya, V. V., Shi, Y., Fua, H., Lees, M. H., Dongarra, J., & Sloot, P. M. A. (2019). Science at the intersection of data, modelling, and computation. Journal of Computational Science, 34, 117-119. https://doi.org/10.1016/j.jocs.2019.05.005
  • Rodrigues, J. M. F., Cardoso, P. J. S., Monteiro, J., Lam, R., Krzhizhanovskaya, V. V., Lees, M., Dongarra, J. J., & Sloot, P. M. A. (2019). Preface. In J. M. F. Rodrigues, P. J. S. Cardoso, J. Monteiro, R. Lam, V. V. Krzhizhanovskaya, M. H. Lees, J. J. Dongarra, & P. M. A. Sloot (Eds.), Computational Science – ICCS 2019: 19th International Conference, Faro, Portugal, June 12–14, 2019 : proceedings (Vol. I, pp. v-vi). (Lecture Notes in Computer Science; Vol. 11536). Springer. https://doi.org/10.1007/978-3-030-22734-0
  • Sloot, P. M. A., Melnikov, V., & Muniraj, V. (2019). Data for: Prediction and Quantification of Bacterial Biofilm Detachment Using Glazier-Graner-Hogeweg Method Based Model Simulations [Data set]. Mendeley Data. https://doi.org/10.17632/6n9pswt7vk.1
  • Sheraton, M. V., Melnikov, V. R., & Sloot, P. M. A. (2019). Prediction and quantification of bacterial biofilm detachment using Glazier-Graner–Hogeweg method based model simulations. Journal of Theoretical Biology, 482, Article 109994. https://doi.org/10.1016/j.jtbi.2019.109994
  • Open Access
    Dutta, P., Ma, L., Ali, Y., Sloot, P. M. A., & Zheng, J. (2019). Boolean network modeling of β-cell apoptosis and insulin resistance in type 2 diabetes mellitus. BMC Systems Biology, 13(Supplement 2), Article 36. https://doi.org/10.1186/s12918-019-0692-0
  • Open Access
    Huang, Z., Lum, E., Jimenez, G., Semwal, M., Sloot, P., & Car, J. (2019). Medication management support in diabetes: a systematic assessment of diabetes self-management apps. BMC Medicine, 17, Article 127. https://doi.org/10.1186/s12916-019-1362-1
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