Villalobos-Cid, M., Salinas, F., Kessi-Pérez, E. I., De Chiara, M., Liti, G., Inostroza-Ponta, M., & Martínez, C. (2019). Comparison of Phylogenetic Tree Topologies for Nitrogen Associated Genes Partially Reconstruct the Evolutionary History of Saccharomyces cerevisiae. In Microorganisms (Vol. 8, Issue 1, p. 32). MDPI AG. https://doi.org/10.3390/microorganisms8010032.
type: JOURNAL ARTICLES
Using the QAP grid visualization approach for biomarker identification of cell-specific transcriptomic signatures
Warren, C., Inostroza-Ponta, M., & Moscato, P. (2017). Using the QAP grid visualization approach for biomarker identification of cell-specific transcriptomic signatures. In Methods in Molecular Biology (Vol. 1526, pp. 271–297). Springer. https://doi.org/10.1007/978-1-4939-6613-4_16
Influence of the go-based semantic similarity measures in multi-objective gene clustering algorithm performance
Parraga-Alava, J., & Inostroza-Ponta, M. (2020). Influence of the GO-based semantic similarity measures in multi-objective gene clustering algorithm performance. Journal of Bioinformatics and Computational Biology, 18(06), 2050038. https://doi.org/10.1142/S0219720020500389
Total evidence or taxonomic congruence? A comparison of methods for combining biological evidence
Villalobos-Cid, M., Salinas, F., & Inostroza-Ponta, M. (2020). Total evidence or taxonomic congruence? A comparison of methods for combining biological evidence. In Journal of Bioinformatics and Computational Biology (Vol. 18, Issue 06, p. 2050040). World Scientific Pub Co Pte Ltd. https://doi.org/10.1142/s0219720020500407.
Exploring the high selectivity of 3-D protein structures using distributed memetic algorithms
Inostroza-Ponta, M., Dorn, M., Escobar, I., de Lima Correa, L., Rosas, E., Hidalgo, N., & Marín, M. (2020). Exploring the high selectivity of 3-D protein structures using distributed memetic algorithms. Journal of Computational Science, 41, 101087. https://doi.org/10.1016/j.jocs.2020.101087
Molecular Modeling of Epithiospecifier and Nitrile-Specifier Proteins of Broccoli and Their Interaction with Aglycones
Román, J. and González, D. and Inostroza, M. and Mahn, A., Molecular Modeling of Epithiospecifier and Nitrile-Specifier Proteins of Broccoli and Their Interaction with Aglycones, Molecules, Volume 25, number 4, 2020, doi.org/10.3390/molecules25040772.
Comparison of phylogenetic tree topologies for nitrogen associated genes partially reconstruct the evolutionary history of Saccharomyces cerevisiae
Villalobos-Cid, M., Salinas, F., Kessi-Pérez, E. I., De Chiara, M., Liti, M., Inostroza-Ponta, M., Martínez, C. Comparison of phylogenetic tree topologies for nitrogen associated genes partially reconstruct the evolutionary history of Saccharomyces cerevisiae, Microorganisms 2020, 8, 32 doi:10.3390/microorganisms8010032.
A Memetic Algorithm Based on an NSGA-II Scheme for Phylogenetic Tree Inference,
Villalobos-Cid, M., Dorn, M., Ligabue-Braun, R., & Inostroza-Ponta, M. (2019). A Memetic Algorithm Based on an NSGA-II Scheme for Phylogenetic Tree Inference. In IEEE Transactions on Evolutionary Computation (Vol. 23, Issue 5, pp. 776–787). Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/tevc.2018.2883888.
A Memetic Algorithm for 3D Protein Structure Prediction Problem
Correa, L., Borguesan, B., Farfan, C., Inostroza-Ponta, M., & Dorn, M. (2018). A memetic algorithm for 3D protein structure prediction problem. IEEE/ACM Transactions on Computational Biology and Bioinformatics, 15(2), 690–704. https://doi.org/10.1109/TCBB.2016.2635143
A multi-objective gene clustering algorithm guided by apriori biological knowledge with intensification and diversification strategies
Párraga-Alava, J., Dorn, M., & Inostroza-Ponta, M. (2018). A multi-objective gene clustering algorithm guided by apriori biological knowledge with intensification and diversification strategies. BioData Mining, 11, Artículo 19. https://doi.org/10.1186/s13040-018-0178-4