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Optimal Search Space for Clustering Gene Expression Data via Consensus.

, , and . J. Comput. Biol., 14 (10): 1327-1341 (2007)

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RefTest 2011 Special Section., and . J. Object Technol., (2012)Investigating User responses to Mandatory IT-induced organisational changes: a pre-Implementation Study., , , and . ECIS, page 27. (2018)Learning short multivariate time series models through evolutionary and sparse matrix computation., , and . Nat. Comput., 5 (4): 387-426 (2006)Variable grouping in multivariate time series via correlation., , and . IEEE Trans. Syst. Man Cybern. Part B, 31 (2): 235-245 (2001)An integrated search-based approach for automatic testing from extended finite state machine (EFSM) models., , and . Inf. Softw. Technol., 53 (12): 1297-1318 (2011)Detecting Leukaemia (AML) Blood Cells Using Cellular Automata and Heuristic Search., , and . IDA, volume 6065 of Lecture Notes in Computer Science, page 54-66. Springer, (2010)Optimal Search Space for Clustering Gene Expression Data via Consensus., , and . J. Comput. Biol., 14 (10): 1327-1341 (2007)Design of a Flexible, User Friendly Feature Matrix Generation System and its Application on Biomedical Datasets., , , and . J. Grid Comput., 18 (3): 507-527 (2020)Bayesian Deep Active Learning for Medical Image Analysis., , and . AIME, volume 12721 of Lecture Notes in Computer Science, page 36-42. Springer, (2021)Consensus Clustering and Functional Interpretation of Gene Expression Data., , , , , , and . Spanish Bioinformatics Conference, page 6. Technical University of Catalonia, Barcelona, (2004)