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Learning the Structure of Bayesian Networks: A Quantitative Assessment of the Effect of Different Algorithmic Schemes., , , , and . Complexity, (2018)Withholding aggressive treatments may not accelerate time to death among dying ICU patients., , , , and . CoRR, (2018)CAPRI: efficient inference of cancer progression models from cross-sectional data., , , , , , , and . Bioinformatics, 31 (18): 3016-3026 (2015)PMCE: efficient inference of expressive models of cancer evolution with high prognostic power., , , , , and . Bioinform., 38 (3): 754-762 (2022)A quantitative assessment of the effect of different algorithmic schemes to the task of learning the structure of Bayesian Networks., , , and . CoRR, (2017)Exposing the probabilistic causal structure of discrimination., , , and . Int. J. Data Sci. Anal., 3 (1): 1-21 (2017)The Influence of Nutrients Diffusion on a Metabolism-driven Model of a Multi-cellular System., , , , , , , , , and . Fundam. Informaticae, 171 (1-4): 279-295 (2020)Learning mutational graphs of individual tumour evolution from single-cell and multi-region sequencing data., , , , and . BMC Bioinformatics, 20 (1): 210:1-210:13 (2019)A Model of Colonic Crypts using SBML Spatial., , and . Wivace, volume 130 of EPTCS, page 74-78. (2013)TRONCO: an R package for the inference of cancer progression models from heterogeneous genomic data., , , , , , and . Bioinformatics, 32 (12): 1911-1913 (2016)