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17th BSB 2024: Vitória, Brazil
- Marcelo da Silva Reis, Fabrício Martins Lopes:

Proceedings of the 17th Brazilian Symposium on Bioinformatics, BSB 2024, Vitória, Brazil, December 2-4, 2024. SBC 2024 - Marcelo da Silva Reis, Fabrício Martins Lopes:

Prefácio, Organização e Resumo de Pôsteres. i- - Gabriel Bianchin de Oliveira, Hélio Pedrini, Zanoni Dias:

Scaling Up ESM2 Architectures for Long Protein Sequences Analysis: Long and Quantized Approaches. 1-11 - Thomas V. Fontanari, Mariana Recamonde Mendoza:

Evaluating the Generalization of Neural Network-Based Pan-Cancer Classification Models for Cohort-Specific Predictions. 12-23 - Lucas Peres Oliveira, Victor Rigatto, Natacha A. Migita, José A. Yunes, João Meidanis:

Comparison of computational fusion detection methods for short-read RNA-seq data. 24-35 - Ana Beatriz Miranda Valentin, Gláucia Maria Bressan, Leonardo Canuto Junior, Elisângela Aparecida da Silva Lizzi:

Optimized Neural Networks for Breast Cancer Classification Using Gene Expression Data. 36-46 - Ronny Lorenz, Peter F. Stadler:

Squares in Cycles: Prediction of G-Quadruplexes in Circular RNA Secondary Stuctures. 47-58 - Rafael P. Lemos, Diego C. B. Mariano, Sabrina de Azevedo Silveira, Raquel Cardoso de Melo Minardi:

COCαDA - Large-Scale Protein Interatomic Contact Cutoff Optimization by Cα Distance Matrices. 59-70 - Gabriel Siqueira, Alexsandro Oliveira Alexandrino, Andre Rodrigues Oliveira, Zanoni Dias:

Heuristics based on Adjacency Graph Packing for DCJ Distance Considering Intergenic Regions. 71-82 - Marilio Freire de Almeida, Sérgio Nery Simões

, Karin Satie Komati:
A Comparative Study of CNN for Prediction of Human Cancer Types Integrating Protein-Protein Interaction Networks and Omics Data. 83-94 - Luis Henrique Costa Neto, Sérgio Lifschitz, Marcos Catanho, Antonio B. de Miranda, Edward Hermann Haeusler:

Towards a Simpler Semantics for Systems Biology. 95-106 - Lucas P. B. Moreira, Maria L. G. Kuniyoshi, Zofia Wicik, David Correa Martins Jr., Helena Paula Brentani, Sérgio Nery Simões

:
AutoBioLearn: An Automated Data Science Framework for eXplainable Analyses (XAI) of Clinical Datasets. 107-118 - Hugo de Andrade Amorim Neto

, Luis Loo, Marcelo Gomes Pereira de Lacerda
, Ulisses Braga-Neto
, Fernando Buarque de Lima Neto
:
Towards a Surrogate-assisted PALLAS algorithm for Gene Regulatory Network Inference. 119-130 - Marcus Vinicius da Silva Rodrigues, João Paulo de Oliveira, Sandriele Aparecida Noriler, Angelo Barreiro Garcia, Ulisses de Pádua Pereira, Ulisses Nunes da Rocha, Admilton Gonçalves de Oliveira Junior, Glaucia Maria Bressan:

Genomic and phylogenetic analysis of plant growth-promoting bacteria. 131-142 - Glauco E. Lima, Simone Queiroz Pantaleão, Isabelle A. Pereira, Ana Ligia Scott:

Graph Attention Neural Networks Improving Molecular Docking Rank with Protein-Ligand Contact Maps. 143-154 - Arthur Henrique Barrios Solano

, João Carlos Setubal
:
A computational pipeline for species- and strain-level classification of metagenomic sequences. 155-166 - Eduardo U. M. Moreira, Leandro Morais, Sheila Cruz Araujo, Rafael P. Lemos, Ana Luísa A. Bastos, Alessandra Lima da Silva, Diego C. B. Mariano, Raquel Cardoso de Melo Minardi:

Predicting Mutation-Driven Changes in the SARS-CoV-2 Spike Protein Using Structural Signatures and Neural Networks. 167-178 - Reno S. Nooblath, Daniel H. Gomes, Sintia S. Almeida, Vinícius A. Abreu

:
Unraveling Evolutionary Paths: Genomic Divergence and Geographic Secrets of Cylindrospermopsis and Sphaerospermopsis. 179-190 - Bruno B. Scholl, Ligia C. Palma, Victor Seiji Hariki, Maria Carolina Elias, Marcelo da Silva Reis:

Tuning a predictive DNA replication programming computational model for Trypanosomatids. 191-201 - Helena Lott Costa, Giovana C. F. Maia, Lucas G. S. Chaves, Diego C. B. Mariano, Raquel Cardoso de Melo Minardi:

Teaching bioinformatics programming in high school: a case report. 202-210 - Cristiano G. S. Campos, Ronaldo N. De Sousa, Hugo A. Armelin, Marcelo da Silva Reis:

Modeling cell signaling pathways through universal differential equations and joint inference of first-principle parameters and neural network weights. 211-222 - Alessandra Gomes Cioletti, Rafael P. Lemos, Lucas Moraes dos Santos, Diego C. B. Mariano, Raquel Cardoso de Melo Minardi:

Using graph-based structural signatures and machine learning algorithms for molecular docking assessment of histone deacetylases and small ligands. 223-234 - Karine Terra de Souza, Glauber Monteiro Dias, Jorge Hernandez Fernandez:

In silico study of the impact of the PRKAG2-H401Q mutation on AMPK affinity for AMP and ATP. 235-240 - Luana Luiza Bastos, Rafael P. Lemos, Diego C. B. Mariano, Raquel Cardoso de Melo Minardi:

A strategy for refining the calculation of contacts in protein-RNA complexes. 241-246

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