Microarray Classification and Gene Selection with FS-NEAT. - Bruno Iochins Grisci; Bruno César Feltes; Márcio Dorn (CEC, 2018)

Neuroevolution as a tool for microarray gene expression pattern identification in cancer research. - Bruno Iochins Grisci; Bruno César Feltes; Márcio Dorn (J. Biomed. Informatics, 2019)

CuMiDa: An Extensively Curated Microarray Database for Benchmarking and Testing of Machine Learning Approaches in Cancer Research. - Bruno César Feltes; Laure Chandelier; Bruno Iochins Grisci; Márcio Dorn (J. Comput. Biol., 2019)

Benchmarking and Testing Machine Learning Approaches with BARRA: CuRDa, a Curated RNA-Seq Database for Cancer Research. - Bruno César Feltes; Joice De Faria Poloni; Márcio Dorn (J. Comput. Biol., 2021)

Modifying the catalytic preference of alpha-amylase toward n-alkanes for bioremediation purposes using in silico strategies. - Éderson Sales Moreira Pinto; Bruno César Feltes; Conrado Pedebos; Márcio Dorn (J. Comput. Chem., 2021)

Comparison of machine learning techniques to handle imbalanced COVID-19 CBC datasets. - Márcio Dorn; Bruno Iochins Grisci; Pedro Henrique Narloch; Bruno César Feltes; Eduardo Avila; Alessandro Kahmann; Clarice Sampaio Alho (PeerJ Comput. Sci., 2021)

Gene Expression Variation Analysis (GEVA): A new R package to evaluate variations in differential expression in multiple biological conditions. - Itamar José Guimarães Nunes; Bruno César Feltes; Murilo Zanini David; Márcio Dorn (J. Biomed. Informatics, 2022)

NIAS-Server 2.0: A versatile complementary tool for structural biology studies. - Bruno César Feltes; Éderson Sales Moreira Pinto; Arthur Tonietto Mangini; Márcio Dorn (J. Comput. Chem., 2023)

The use of gene expression datasets in feature selection research: 20 years of inherent bias? - Bruno Iochins Grisci; Bruno César Feltes; Joice De Faria Poloni; Pedro Henrique Narloch; Márcio Dorn (WIREs Data. Mining. Knowl. Discov., 2024)