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ORCIDBSB 2023: Curitiba, Brazil
- Marcelo da Silva Reis
, Raquel Cardoso de Melo Minardi:
Advances in Bioinformatics and Computational Biology - 16th Brazilian Symposium on Bioinformatics, BSB 2023, Curitiba, Brazil, June 13-16, 2023, Proceedings. Lecture Notes in Computer Science 13954, Springer 2023, ISBN 978-3-031-42714-5 - Alexsandro Oliveira Alexandrino, Gabriel Siqueira, Klairton Lima Brito, Andre Rodrigues Oliveira, Ulisses Dias, Zanoni Dias:
Block Interchange and Reversal Distance on Unbalanced Genomes. 1-13 - Denilson Fagundes Barbosa, Liliane Santana Oliveira, André Yoshiaki Kashiwabara:
circTIS: A Weighted Degree String Kernel with Support Vector Machine Tool for Translation Initiation Sites Prediction in circRNA. 14-24 - André Flores dos Santos, Mirkos Ortiz Martins, Mariana Zancan Tonel, Solange Binotto Fagan:
Evaluating the Molecular - Electronic Structure and the Antiviral Effect of Functionalized Heparin on Graphene Oxide Through Ab Initio Computer Simulations and Molecular Docking. 25-35 - Alisson Gaspar Chiquitto, Lucas Otávio L. Silva, Liliane Santana Oliveira, Douglas Silva Domingues, Alexandre Rossi Paschoal:
Make No Mistake! Why Do Tools Make Incorrect Long Non-coding RNA Classification? 36-45 - Victor Chavauty Villela, Eduardo Silva Lira, André Fujita:
Spectrum-Based Statistical Methods for Directed Graphs with Applications in Biological Data. 46-57 - Maurício Dorneles Caldeira Balboni, Oscar Emilio Arrúa Arce, Adriano Velasque Werhli, Karina dos Santos Machado:
Feature Selection Investigation in Machine Learning Docking Scoring Functions. 58-69 - Frederico Chaves Carvalho, Diego C. B. Mariano, Marcos Bomfim, Giovana Fiorini, Luana L. Bastos, Ana Paula de Abreu, Vivian Paixão, Lucas Moraes dos Santos, Juliana Silva, Angie Puelles, Alessandra Lima da Silva, Raquel Cardoso de Melo Minardi:
Using Natural Language Processing for Context Identification in COVID-19 Literature. 70-81 - Marcelo Batista, Fabio Montoni, Cristiano G. S. Campos, Ronaldo N. De Sousa, Hugo A. Armelin, Marcelo da Silva Reis:
A Framework for Inference and Selection of Cell Signaling Pathway Dynamic Models. 82-93 - Edward Hermann Haeusler, Bruno Cuconato, Luiz A. Glatzl, Maria Leandra Guateque, Diogo Munaro Vieira, Elvismary Molina de Armas, Fernanda Baião, Marcos Catanho, Antonio B. de Miranda, Sérgio Lifschitz:
Intentional Semantics for Molecular Biology. 94-105 - Pedro H. A. Barros, Waldeyr M. C. Silva, Marcelo M. Brigido:
transcAnalysis: A Snakemake Pipeline for Differential Expression and Post-transcriptional Modification Analysis. 106-111 - Lucas Moraes dos Santos, Diego C. B. Mariano, Luana Luiza Bastos, Alessandra Gomes Cioletti, Raquel Cardoso de Melo Minardi:
Peptide-Protein Interface Classification Using Convolutional Neural Networks. 112-122 - Eric Augusto Ito, Fábio Fernandes da Rocha Vicente, Luiz Filipe Protasio Pereira, Fabrício Martins Lopes:
A Power Law Semantic Similarity from Gene Ontology. 123-135 - Rodrigo Cesar Bonini, David Correa Martins Jr.:
Gene Networks Inference by Reinforcement Learning. 136-147 - Ronaldo N. De Sousa, Cristiano G. S. Campos, Willian Wang, Ronaldo Fumio Hashimoto, Hugo Aguirre Armelin, Marcelo da Silva Reis:
Exploring Identifiability in Hybrid Models of Cell Signaling Pathways. 148-159
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