Šmelko, A., Kruliš, M., Kratochvil, M., Klepl, J., Mayer, J., & Šimůnek, P. (2023). Astute Approach to Handling Memory Layouts of Regular Data Structures. In Algorithms and Architectures for Parallel Processing. Cham, Switzerland: Springer Nature. doi:10.1007/978-3-031-22677-9_27 Peer reviewed |
KRATOCHVIL, M., & Wilken, S. E. (2023). FBCModelTests.jl. |
Vega Moreno, C. G., Kratochvil, M., Satagopam, V., & Schneider, R. (2022). Translational Challenges of Biomedical Machine Learning Solutions in Clinical and Laboratory Settings. In Bioinformatics and Biomedical Engineering (pp. 353--358). Cham, Unknown/unspecified: Springer International Publishing. doi:10.1007/978-3-031-07802-6_30 Peer reviewed |
Wilken, S. E., Besançon, M., Kratochvil, M., Kuate, C. A. F., Trefois, C., Gu, W., & Ebenhöh, O. (2022). Interrogating the effect of enzyme kinetics on metabolism using differentiable constraint-based models. Metabolic Engineering. doi:10.1016/j.ymben.2022.09.002 Peer reviewed |
Šmelko, A., Kratochvil, M., Kruliš, M., & Sieger, T. (August 2021). GPU-Accelerated Mahalanobis-Average Hierarchical Clustering Analysis. Lecture Notes in Computer Science, 12820, 580-595. doi:10.1007/978-3-030-85665-6_36 Peer reviewed |
Kratochvil, M.* , Heirendt, L.* , Wilken, S. E., Pusa, T., Arreckx, S., Noronha, A., van Aalst, M., Satagopam, V., Ebenhöh, O., Schneider, R., Trefois, C., & Gu, W. (2021). COBREXA.jl: constraint-based reconstruction and exascale analysis. Bioinformatics. doi:10.1093/bioinformatics/btab782 Peer reviewed * These authors have contributed equally to this work. |
Kratochvil, M.* , Hunewald, O.* , Heirendt, L., Verissimo, V., Vondrášek, J., Satagopam, V., Schneider, R., Trefois, C., & Ollert, M. (18 November 2020). GigaSOM.jl: High-performance clustering and visualization of huge cytometry datasets. GigaScience, 9 (11). doi:10.1093/gigascience/giaa127 Peer Reviewed verified by ORBi * These authors have contributed equally to this work. |