Bruno Iochins Grisci
Affiliations: | Universidade Federal do Rio Grande de Sul |
Area:
computer science, bioinformatics, machine learning, metaheuristics, evolutionary computation, feature selection, computational biology, interpretable machine learningGoogle:
"Bruno Grisci"Parents
Sign in to add mentor| Marcio Dorn | grad student | 2017-2022 | Universidade Federal do Rio Grande do Sul (UFRGS) | |
| (Masters, Doctorate) | ||||
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Publications
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| Dorn M, Grisci BI, Narloch PH, et al. (2021) Comparison of machine learning techniques to handle imbalanced COVID-19 CBC datasets. Peerj. Computer Science. 7: e670 |
| Polêto MD, Grisci BI, Dorn M, et al. (2020) ConfID: an analytical method for conformational characterization of small molecules using molecular dynamics trajectories. Bioinformatics (Oxford, England). 36: 3576-3577 |
| Feltes BC, Chandelier EB, Grisci BI, et al. (2019) CuMiDa: An Extensively Curated Microarray Database for Benchmarking and Testing of Machine Learning Approaches in Cancer Research. Journal of Computational Biology : a Journal of Computational Molecular Cell Biology |
| Arantes PR, Polêto MD, John EBO, et al. (2019) Development of GROMOS-Compatible Parameter Set for Simulations of Chalcones and Flavonoids. The Journal of Physical Chemistry. B |
| Grisci BI, Feltes BC, Dorn M. (2018) Neuroevolution as a Tool for Microarray Gene Expression Pattern Identification in Cancer Research. Journal of Biomedical Informatics |
| Feltes BC, Grisci BI, Poloni JF, et al. (2018) Perspectives and applications of machine learning for evolutionary developmental biology. Molecular Omics |
| Polêto MD, Rusu VH, Grisci BI, et al. (2018) Aromatic Rings Commonly Used in Medicinal Chemistry: Force Fields Comparison and Interactions With Water Toward the Design of New Chemical Entities. Frontiers in Pharmacology. 9: 395 |
| Grisci B, Dorn M. (2017) NEAT-FLEX: Predicting the conformational flexibility of amino acids using neuroevolution of augmenting topologies. Journal of Bioinformatics and Computational Biology. 15: 1750009 |
| Borguesan B, Barbachan e Silva M, Grisci B, et al. (2015) APL: An angle probability list to improve knowledge-based metaheuristics for the three-dimensional protein structure prediction. Computational Biology and Chemistry. 59: 142-57 |