Bruno César Feltes

According to our database, Bruno César Feltes authored at least 10 papers between 2018 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2026

Benchmarking multiple gene ontology enrichment tools reveals high biological significance, ranking, and stringency heterogeneity among datasets.

Fábio Henrique Schuster de Oliveira, Felipe Acker Gomes, Bruno César Feltes

Frontiers Bioinform., 2026

2024

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

2023

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

2022

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

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

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

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

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

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

2018

Microarray Classification and Gene Selection with FS-NEAT.

Bruno Iochins Grisci, Bruno César Feltes, Márcio Dorn

Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018