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PhysiBoSS: a multi-scale agent-based modelling framework integrating physical dimension and cell signalling.

, , , , , , , and . Bioinform., 35 (7): 1188-1196 (2019)

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Geometrical Complexity of Data Approximators., , and . IWANN (1), volume 7902 of Lecture Notes in Computer Science, page 500-509. Springer, (2013)Piece-wise quadratic lego set for constructing arbitrary error potentials and their fast optimization., , and . CoRR, (2016)Omics data integration in computational biology viewed through the prism of machine learning paradigms., and . Frontiers Bioinform., (May 2023)Exact solving and sensitivity analysis of stochastic continuous time Boolean models., , , , and . BMC Bioinform., 21 (1): 241 (2020)Metabolic and signalling network maps integration: application to cross-talk studies and omics data analysis in cancer., , , , , and . BMC Bioinform., 20-S (4): 140:1-140:14 (2019)LNetReduce: Tool for Reducing Linear Dynamic Networks with Separated Timescales., , , , , and . CMSB, volume 12881 of Lecture Notes in Computer Science, page 238-244. Springer, (2021)Quasi-orthogonality and intrinsic dimensions as measures of learning and generalisation., , , , , and . IJCNN, page 1-8. IEEE, (2022)Synthesis of Boolean Networks from Biological Dynamical Constraints using Answer-Set Programming., , , and . ICTAI, page 34-41. IEEE, (2019)Robust principal graphs for data approximation., , and . CoRR, (2016)Branching Principal Components: Elastic Graphs, Topological Grammars and Metro Maps., , and . IJCNN, page 2586-2591. IEEE, (2007)