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Using Evolutional Properties of Gene Networks in Understanding Survival Prognosis of Glioblastoma., and . IEEE J. Biomed. Health Informatics, 18 (3): 810-816 (2014)A Framework for Accessible Cluster-Enabled Epistatic Analysis., , , , and . Euro-Par Workshops, volume 10104 of Lecture Notes in Computer Science, page 433-444. Springer, (2016)Epistatic Analysis of Clarkson Disease., , and . ICCS, volume 51 of Procedia Computer Science, page 725-734. Elsevier, (2015)Brain Modelling as a Service: The Virtual Brain on EBRAINS., , , , , , , , , and 33 other author(s). CoRR, (2021)Deploying and Optimizing Embodied Simulations of Large-Scale Spiking Neural Networks on HPC Infrastructure., , , , , , , , , and 12 other author(s). Frontiers Neuroinformatics, (2022)Review: High-performance computing to detect epistasis in genome scale data sets., , , and . Briefings Bioinform., 17 (3): 368-379 (2016)Weighted Epistatic Analysis of NSAIDs Hypersensitivity Data., , , and . Eng. Appl. Artif. Intell., (2017)Investigating survival prognosis of glioblastoma using evolutional properties of gene networks., and . BIBE, page 466-471. IEEE Computer Society, (2012)Brain simulation as a cloud service: The Virtual Brain on EBRAINS., , , , , , , , , and 34 other author(s). NeuroImage, (2022)