3 citations · 8 across the 5 of their papers we have counts for
5 papers
BASiNETEntropy: an alignment-free method for classification of biological sequences through complex networks and entropy maximization
Murilo Montanini Breve, Matheus Henrique Pimenta-Zanon, Fabrício Martins Lopes
The discovery of nucleic acids and the structure of DNA have brought considerable advances in the understanding of life. The development of next-generation sequencing technologies…
Complex Network-Based Approach for Feature Extraction and Classification of Musical Genres
Matheus Henrique Pimenta-Zanon, Glaucia Maria Bressan, Fabrício Martins Lopes
Musical genre's classification has been a relevant research topic. The association between music and genres is fundamental for the media industry, which manages musical recommendat…
Computational methods for differentially expressed gene analysis from RNA-Seq: an overview
Juliana Costa-Silva, Douglas S. Domingues, David Menotti +2
The analysis of differential gene expression from RNA-Seq data has become a standard for several research areas mainly involving bioinformatics. The steps for the computational ana…
A Monte Carlo Approach to Measure the Robustness of Boolean Networks
Vitor H. P. Louzada, Fabrício M. Lopes, Ronaldo F. Hashimoto
Emergence of robustness in biological networks is a paramount feature of evolving organisms, but a study of this property in vivo, for any level of representation such as Genetic,…
An iterative feature selection method for GRNs inference by exploring topological properties
Fabrício Martins Lopes, David C. Martins-Jr, Junior Barrera +1
An important problem in bioinformatics is the inference of gene regulatory networks (GRN) from temporal expression profiles. In general, the main limitations faced by GRN inference…