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Results: 5
Number of items: 5
  • Open Access
    Li, J., Bosch, J. A., Rydin, A. O., Hourican, C., Koloi, A., Tassi, S., Mishra, P. P., Mishra, B. H., Kähönen, M., Lehtimäki, T., Raitakari, O. T., Laaksonen, R., Keltikangas-Järvinen, L., Juonala, M., & Quax, R. (2025). A multilayer network analysis of cardiovascular-depression comorbidity reveals symptom-specific molecular biomarkers. Psychological Medicine, 55, Article e316. https://doi.org/10.1017/S0033291725102109
  • Open Access
    Gehlen, J., Li, J., Hourican, C., Tassi, S., Mishra, P. P., Lehtimäki, T., Kähönen, M., Raitakari, O., Bosch, J. A., & Quax, R. (2024). Bias in O-Information Estimation. Entropy, 26(10), Article 837. https://doi.org/10.3390/e26100837
  • Open Access
    Hourican, C., Li, J., Mishra, P. P., Lehtimäki, T., Mishra, B. H., Kähönen, M., Raitakari, O. T., Laaksonen, R., Keltikangas-Järvinen, L., Juonala, M., & Quax, R. (2024). Efficient Search Algorithms for Identifying Synergistic Associations in High-Dimensional Datasets. Entropy, 26(11), Article 968. https://doi.org/10.3390/e26110968
  • Open Access
    Koloi, A., Loukas, V. S., Hourican, C., Sakellarios, A. I., Quax, R., Mishra, P. P., Lehtimäki, T., Raitakari, O. T., Papaloukas, C., Bosch, J. A., März, W., & Fotiadis, D. I. (2024). Predicting early-stage coronary artery disease using machine learning and routine clinical biomarkers improved by augmented virtual data. European Heart Journal - Digital Health, 5(5), 542-550. https://doi.org/10.1093/ehjdh/ztae049
  • Open Access
    Hourican, C., Peeters, G., Melis, R. J. F., Wezeman, S. L., Gill, T. M., Olde Rikkert, M. G. M., & Quax, R. (2023). Understanding multimorbidity requires sign-disease networks and higher-order interactions, a perspective. Frontiers in Systems Biology, 3, Article 1155599. https://doi.org/10.3389/fsysb.2023.1155599
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