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An Integrated QAP-Based Approach to Visualize Patterns of Gene Expression Similarity.

M. Inostroza-Ponta, A. Mendes, R. Berretta, and P. Moscato. ACAL, volume 4828 of Lecture Notes in Computer Science, page 156-167. Springer, (2007)

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Mario Fuksa University of Stuttgart

Mario Heene

Mario Döbler University of Stuttgart

Mario Gaimann University of Stuttgart

Mario Hermle University of Stuttgart

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A Bi-Objective Clustering Algorithm for Gene Expression Data.J. Parraga-Alava, and M. Inostroza-Ponta. CLEI Electron. J., (2017)A Memetic Algorithm for 3D Protein Structure Prediction Problem.L. de Lima Correa, B. Borguesan, C. Farfán, M. Inostroza-Ponta, and M. Dorn. IEEE/ACM Trans. Comput. Biology Bioinform., 15 (3): 690-704 (2018)Clustering Nodes in Large-Scale Biological Networks Using External Memory Algorithms.A. Arefin, M. Inostroza-Ponta, L. Mathieson, R. Berretta, and P. Moscato. ICA3PP (2), volume 7017 of Lecture Notes in Computer Science, page 375-386. Springer, (2011)A New Strategy to Evaluate Technical Efficiency in Hospitals Using Homogeneous Groups of Casemix - How to Evaluate When There is Not DRGs?M. Villalobos-Cid, M. Chacón, P. Zitko, and M. Inostroza-Ponta. J. Medical Systems, 40 (4): 103:1-103:12 (2016)Tackling the bi-objective quadratic assignment problem by characterizing different memory strategies in a memetic algorithm.R. Sandoval-Soto, M. Villalobos-Cid, and M. Inostroza-Ponta. SCCC, page 1-12. IEEE, (2017)An Integrated QAP-Based Approach to Visualize Patterns of Gene Expression Similarity.M. Inostroza-Ponta, A. Mendes, R. Berretta, and P. Moscato. ACAL, volume 4828 of Lecture Notes in Computer Science, page 156-167. Springer, (2007)A Memetic Algorithm Based on an NSGA-II Scheme for Phylogenetic Tree Inference.M. Villalobos-Cid, M. Dorn, R. Ligabue-Braun, and M. Inostroza-Ponta. IEEE Trans. Evolutionary Computation, 23 (5): 776-787 (2019)An evolutionary multi-agent algorithm to explore the high degree of selectivity in three-dimensional protein structures.L. de Lima Correa, M. Inostroza-Ponta, and M. Dorn. CEC, page 1111-1118. IEEE, (2017)Using local search strategies to improve the performance of NSGA-II for the Multi-Criteria Minimum Spanning Tree problem.J. Parraga-Alava, M. Dorn, and M. Inostroza-Ponta. CEC, page 1119-1126. IEEE, (2017)A bi-objective model for gene clustering combining expression data and external biological knowledge.J. Parraga-Alava, and M. Inostroza-Ponta. CLEI, page 1-12. IEEE, (2016)