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Artigo de periodico
BioDeepfuse: a hybrid deep learning approach with integrated feature extraction techniques for enhanced non-coding RNA classification (2024)
Santos, Anderson Paulo Avila ; Almeida, Breno Lívio Silva de ; Bonidia, Robson Parmezan ; Stadler, Peter F ; Štefanič, Polonca; Mandic-Mulec, Ines; Rocha, Ulisses Nunes da ; Sanches, Danilo Sipoli ; Carvalho, Andre Carlos Ponce de Leon Ferreira de
Source: RNA Biology. Unidades: ICMC, EESC E ICMC
Subjects: BIOINFORMÁTICA, APRENDIZAGEM PROFUNDA, REDES NEURAIS, RNA, REGULAÇÃO GÊNICA, GENÔMICA
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SANTOS, Anderson Paulo Avila et al. BioDeepfuse: a hybrid deep learning approach with integrated feature extraction techniques for enhanced non-coding RNA classification. RNA Biology, v. 21, n. 1, p. 1-12, 2024Tradução . . Disponível em: https://doi.org/10.1080/15476286.2024.2329451. Acesso em: 01 nov. 2024.
APA
Santos, A. P. A., Almeida, B. L. S. de, Bonidia, R. P., Stadler, P. F., Štefanič, P., Mandic-Mulec, I., et al. (2024). BioDeepfuse: a hybrid deep learning approach with integrated feature extraction techniques for enhanced non-coding RNA classification. RNA Biology, 21( 1), 1-12. doi:10.1080/15476286.2024.2329451
NLM
Santos APA, Almeida BLS de, Bonidia RP, Stadler PF, Štefanič P, Mandic-Mulec I, Rocha UN da, Sanches DS, Carvalho ACP de LF de. BioDeepfuse: a hybrid deep learning approach with integrated feature extraction techniques for enhanced non-coding RNA classification [Internet]. RNA Biology. 2024 ; 21( 1): 1-12.[citado 2024 nov. 01 ] Available from: https://doi.org/10.1080/15476286.2024.2329451
Vancouver
Santos APA, Almeida BLS de, Bonidia RP, Stadler PF, Štefanič P, Mandic-Mulec I, Rocha UN da, Sanches DS, Carvalho ACP de LF de. BioDeepfuse: a hybrid deep learning approach with integrated feature extraction techniques for enhanced non-coding RNA classification [Internet]. RNA Biology. 2024 ; 21( 1): 1-12.[citado 2024 nov. 01 ] Available from: https://doi.org/10.1080/15476286.2024.2329451
Artigo de periodico
The AnimalAssociatedMetagenomeDB reveals a bias towards livestock and developed countries and blind spots in functional-potential studies of animal-associated microbiomes (2023)
Santos, Anderson Paulo Avila ; Nata'ala, Muhammad Kabiru ; Kasmanas, Jonas Coelho ; Bartholomäus, Alexander ; Keller-Costa, Tina ; Jurburg, Stephanie D ; Tal, Tamara ; Camarinha-Silva, Amélia ; Saraiva, João Pedro ; Carvalho, André Carlos Ponce de Leon Ferreira de ; Stadler, Peter F ; Sanches, Danilo Sipoli ; Rocha, Ulisses Nunes da
Source: Animal Microbiome. Unidade: ICMC
Subjects: BIOINFORMÁTICA, GENÔMICA, ECOLOGIA MICROBIANA, METADADOS, BASES DE DADOS
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SANTOS, Anderson Paulo Avila et al. The AnimalAssociatedMetagenomeDB reveals a bias towards livestock and developed countries and blind spots in functional-potential studies of animal-associated microbiomes. Animal Microbiome, v. 5, p. 1-13, 2023Tradução . . Disponível em: https://doi.org/10.1186/s42523-023-00267-3. Acesso em: 01 nov. 2024.
APA
Santos, A. P. A., Nata'ala, M. K., Kasmanas, J. C., Bartholomäus, A., Keller-Costa, T., Jurburg, S. D., et al. (2023). The AnimalAssociatedMetagenomeDB reveals a bias towards livestock and developed countries and blind spots in functional-potential studies of animal-associated microbiomes. Animal Microbiome, 5, 1-13. doi:10.1186/s42523-023-00267-3
NLM
Santos APA, Nata'ala MK, Kasmanas JC, Bartholomäus A, Keller-Costa T, Jurburg SD, Tal T, Camarinha-Silva A, Saraiva JP, Carvalho ACP de LF de, Stadler PF, Sanches DS, Rocha UN da. The AnimalAssociatedMetagenomeDB reveals a bias towards livestock and developed countries and blind spots in functional-potential studies of animal-associated microbiomes [Internet]. Animal Microbiome. 2023 ; 5 1-13.[citado 2024 nov. 01 ] Available from: https://doi.org/10.1186/s42523-023-00267-3
Vancouver
Santos APA, Nata'ala MK, Kasmanas JC, Bartholomäus A, Keller-Costa T, Jurburg SD, Tal T, Camarinha-Silva A, Saraiva JP, Carvalho ACP de LF de, Stadler PF, Sanches DS, Rocha UN da. The AnimalAssociatedMetagenomeDB reveals a bias towards livestock and developed countries and blind spots in functional-potential studies of animal-associated microbiomes [Internet]. Animal Microbiome. 2023 ; 5 1-13.[citado 2024 nov. 01 ] Available from: https://doi.org/10.1186/s42523-023-00267-3
Artigo de periodico
Information theory for biological sequence classification: a novel feature extraction technique based on Tsallis entropy (2022)
Bonidia, Robson Parmezan ; Santos, Anderson Paulo Avila ; Almeida, Breno Lívio Silva de ; Stadler, Peter F ; Rocha, Ulisses Nunes da ; Sanches, Danilo Sipoli ; Carvalho, André Carlos Ponce de Leon Ferreira de
Source: Entropy. Unidades: ICMC, EESC E ICMC
Subjects: BIOINFORMÁTICA, SEQUENCIAMENTO GENÉTICO, TEORIA DA INFORMAÇÃO
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BONIDIA, Robson Parmezan et al. Information theory for biological sequence classification: a novel feature extraction technique based on Tsallis entropy. Entropy, v. 24, n. 10, p. 1-17, 2022Tradução . . Disponível em: https://doi.org/10.3390/e24101398. Acesso em: 01 nov. 2024.
APA
Bonidia, R. P., Santos, A. P. A., Almeida, B. L. S. de, Stadler, P. F., Rocha, U. N. da, Sanches, D. S., & Carvalho, A. C. P. de L. F. de. (2022). Information theory for biological sequence classification: a novel feature extraction technique based on Tsallis entropy. Entropy, 24( 10), 1-17. doi:10.3390/e24101398
NLM
Bonidia RP, Santos APA, Almeida BLS de, Stadler PF, Rocha UN da, Sanches DS, Carvalho ACP de LF de. Information theory for biological sequence classification: a novel feature extraction technique based on Tsallis entropy [Internet]. Entropy. 2022 ; 24( 10): 1-17.[citado 2024 nov. 01 ] Available from: https://doi.org/10.3390/e24101398
Vancouver
Bonidia RP, Santos APA, Almeida BLS de, Stadler PF, Rocha UN da, Sanches DS, Carvalho ACP de LF de. Information theory for biological sequence classification: a novel feature extraction technique based on Tsallis entropy [Internet]. Entropy. 2022 ; 24( 10): 1-17.[citado 2024 nov. 01 ] Available from: https://doi.org/10.3390/e24101398
Artigo de periodico
MarineMetagenomeDB: a public repository for curated and standardized metadata for marine metagenomes (2022)
Nata'ala, Muhammad Kabiru ; Santos, Anderson Paulo Avila ; Kasmanas, Jonas Coelho ; Bartholomäus, Alexander ; Saraiva, João Pedro ; Silva, Sandra Godinho ; Keller-Costa, Tina ; Costa, Rodrigo; Gomes, Newton Carlos Marcial ; Carvalho, André Carlos Ponce de Leon Ferreira de ; Stadler, Peter F ; Sanches, Danilo Sipoli ; Rocha, Ulisses Nunes da
Source: Environmental Microbiome. Unidade: ICMC
Subjects: BIOINFORMÁTICA, GENÔMICA, METADADOS, BANCO DE DADOS, ECOLOGIA MICROBIANA
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NATA'ALA, Muhammad Kabiru et al. MarineMetagenomeDB: a public repository for curated and standardized metadata for marine metagenomes. Environmental Microbiome, v. 17, p. 1-10, 2022Tradução . . Disponível em: https://doi.org/10.1186/s40793-022-00449-7. Acesso em: 01 nov. 2024.
APA
Nata'ala, M. K., Santos, A. P. A., Kasmanas, J. C., Bartholomäus, A., Saraiva, J. P., Silva, S. G., et al. (2022). MarineMetagenomeDB: a public repository for curated and standardized metadata for marine metagenomes. Environmental Microbiome, 17, 1-10. doi:10.1186/s40793-022-00449-7
NLM
Nata'ala MK, Santos APA, Kasmanas JC, Bartholomäus A, Saraiva JP, Silva SG, Keller-Costa T, Costa R, Gomes NCM, Carvalho ACP de LF de, Stadler PF, Sanches DS, Rocha UN da. MarineMetagenomeDB: a public repository for curated and standardized metadata for marine metagenomes [Internet]. Environmental Microbiome. 2022 ; 17 1-10.[citado 2024 nov. 01 ] Available from: https://doi.org/10.1186/s40793-022-00449-7
Vancouver
Nata'ala MK, Santos APA, Kasmanas JC, Bartholomäus A, Saraiva JP, Silva SG, Keller-Costa T, Costa R, Gomes NCM, Carvalho ACP de LF de, Stadler PF, Sanches DS, Rocha UN da. MarineMetagenomeDB: a public repository for curated and standardized metadata for marine metagenomes [Internet]. Environmental Microbiome. 2022 ; 17 1-10.[citado 2024 nov. 01 ] Available from: https://doi.org/10.1186/s40793-022-00449-7
Artigo de periodico
MathFeature: feature extraction package for DNA, RNA and protein sequences based on mathematical (2022)
Bonidia, Robson Parmezan ; Domingues, Douglas S ; Sanches, Danilo Sipoli ; Carvalho, André Carlos Ponce de Leon Ferreira de
Source: Briefings in Bioinformatics. Unidade: ICMC
Subjects: BIOINFORMÁTICA, APRENDIZADO COMPUTACIONAL, PYTHON
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BONIDIA, Robson Parmezan et al. MathFeature: feature extraction package for DNA, RNA and protein sequences based on mathematical. Briefings in Bioinformatics, v. 23, n. 1, p. 1-10, 2022Tradução . . Disponível em: https://doi.org/10.1093/bib/bbab434. Acesso em: 01 nov. 2024.
APA
Bonidia, R. P., Domingues, D. S., Sanches, D. S., & Carvalho, A. C. P. de L. F. de. (2022). MathFeature: feature extraction package for DNA, RNA and protein sequences based on mathematical. Briefings in Bioinformatics, 23( 1), 1-10. doi:10.1093/bib/bbab434
NLM
Bonidia RP, Domingues DS, Sanches DS, Carvalho ACP de LF de. MathFeature: feature extraction package for DNA, RNA and protein sequences based on mathematical [Internet]. Briefings in Bioinformatics. 2022 ; 23( 1): 1-10.[citado 2024 nov. 01 ] Available from: https://doi.org/10.1093/bib/bbab434
Vancouver
Bonidia RP, Domingues DS, Sanches DS, Carvalho ACP de LF de. MathFeature: feature extraction package for DNA, RNA and protein sequences based on mathematical [Internet]. Briefings in Bioinformatics. 2022 ; 23( 1): 1-10.[citado 2024 nov. 01 ] Available from: https://doi.org/10.1093/bib/bbab434
Artigo de periodico
Pilot sequence allocation schemes in massive MIMO systems using heuristic approaches (2022)
Matos, Everton Alex ; Bonidia, Robson Parmezan ; Sanches, Danilo Sipoli ; Pozza, Rogério Santos ; Sampaio, Lucas Dias Hiera
Source: Applied Sciences. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, BIOINFORMÁTICA, HEURÍSTICA, ALGORITMOS GENÉTICOS
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MATOS, Everton Alex et al. Pilot sequence allocation schemes in massive MIMO systems using heuristic approaches. Applied Sciences, v. 12, n. 10, p. 1-21, 2022Tradução . . Disponível em: https://doi.org/10.3390/app12105117. Acesso em: 01 nov. 2024.
APA
Matos, E. A., Bonidia, R. P., Sanches, D. S., Pozza, R. S., & Sampaio, L. D. H. (2022). Pilot sequence allocation schemes in massive MIMO systems using heuristic approaches. Applied Sciences, 12( 10), 1-21. doi:10.3390/app12105117
NLM
Matos EA, Bonidia RP, Sanches DS, Pozza RS, Sampaio LDH. Pilot sequence allocation schemes in massive MIMO systems using heuristic approaches [Internet]. Applied Sciences. 2022 ; 12( 10): 1-21.[citado 2024 nov. 01 ] Available from: https://doi.org/10.3390/app12105117
Vancouver
Matos EA, Bonidia RP, Sanches DS, Pozza RS, Sampaio LDH. Pilot sequence allocation schemes in massive MIMO systems using heuristic approaches [Internet]. Applied Sciences. 2022 ; 12( 10): 1-21.[citado 2024 nov. 01 ] Available from: https://doi.org/10.3390/app12105117
Artigo de periodico
BioAutoML: automated feature engineering and metalearning to predict noncoding RNAs in bacteria (2022)
Bonidia, Robson Parmezan ; Santos, Anderson Paulo Avila ; Almeida, Breno Lívio Silva de; Stadler, Peter F ; Rocha, Ulisses Nunes da ; Sanches, Danilo Sipoli ; Carvalho, André Carlos Ponce de Leon Ferreira de
Source: Briefings in Bioinformatics. Unidades: ICMC, EESC E ICMC
Subjects: APRENDIZADO COMPUTACIONAL, BIOINFORMÁTICA, SEQUENCIAMENTO GENÉTICO
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BONIDIA, Robson Parmezan et al. BioAutoML: automated feature engineering and metalearning to predict noncoding RNAs in bacteria. Briefings in Bioinformatics, v. 23, n. 4, p. 1-13, 2022Tradução . . Disponível em: https://doi.org/10.1093/bib/bbac218. Acesso em: 01 nov. 2024.
APA
Bonidia, R. P., Santos, A. P. A., Almeida, B. L. S. de, Stadler, P. F., Rocha, U. N. da, Sanches, D. S., & Carvalho, A. C. P. de L. F. de. (2022). BioAutoML: automated feature engineering and metalearning to predict noncoding RNAs in bacteria. Briefings in Bioinformatics, 23( 4), 1-13. doi:10.1093/bib/bbac218
NLM
Bonidia RP, Santos APA, Almeida BLS de, Stadler PF, Rocha UN da, Sanches DS, Carvalho ACP de LF de. BioAutoML: automated feature engineering and metalearning to predict noncoding RNAs in bacteria [Internet]. Briefings in Bioinformatics. 2022 ; 23( 4): 1-13.[citado 2024 nov. 01 ] Available from: https://doi.org/10.1093/bib/bbac218
Vancouver
Bonidia RP, Santos APA, Almeida BLS de, Stadler PF, Rocha UN da, Sanches DS, Carvalho ACP de LF de. BioAutoML: automated feature engineering and metalearning to predict noncoding RNAs in bacteria [Internet]. Briefings in Bioinformatics. 2022 ; 23( 4): 1-13.[citado 2024 nov. 01 ] Available from: https://doi.org/10.1093/bib/bbac218
Parte de monografia/livro
Computational analysis of transposable elements and circRNAs in plants (2021)
Oliveira, Liliane Santana; Patera, Andressa Caroline; Domingues, Douglas Silva ; Sanches, Danilo Sipoli; Lopes, Fabricio Martins ; Bugatti, Pedro Henrique ; Saito, Priscila Tiemi Maeda; Maracaja-Coutinho, Vinicius ; Durham, Alan Mitchell ; Paschoal, Alexandre Rossi
Source: Plant circular RNAs : methods and protocols. Unidade: IME
Assunto: BIOINFORMÁTICA
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OLIVEIRA, Liliane Santana et al. Computational analysis of transposable elements and circRNAs in plants. Plant circular RNAs : methods and protocols. Tradução . New York: Humana, 2021. . Disponível em: https://doi.org/10.1007/978-1-0716-1645-1_9. Acesso em: 01 nov. 2024.
APA
Oliveira, L. S., Patera, A. C., Domingues, D. S., Sanches, D. S., Lopes, F. M., Bugatti, P. H., et al. (2021). Computational analysis of transposable elements and circRNAs in plants. In Plant circular RNAs : methods and protocols. New York: Humana. doi:10.1007/978-1-0716-1645-1_9
NLM
Oliveira LS, Patera AC, Domingues DS, Sanches DS, Lopes FM, Bugatti PH, Saito PTM, Maracaja-Coutinho V, Durham AM, Paschoal AR. Computational analysis of transposable elements and circRNAs in plants [Internet]. In: Plant circular RNAs : methods and protocols. New York: Humana; 2021. [citado 2024 nov. 01 ] Available from: https://doi.org/10.1007/978-1-0716-1645-1_9
Vancouver
Oliveira LS, Patera AC, Domingues DS, Sanches DS, Lopes FM, Bugatti PH, Saito PTM, Maracaja-Coutinho V, Durham AM, Paschoal AR. Computational analysis of transposable elements and circRNAs in plants [Internet]. In: Plant circular RNAs : methods and protocols. New York: Humana; 2021. [citado 2024 nov. 01 ] Available from: https://doi.org/10.1007/978-1-0716-1645-1_9
Trabalho de evento-anais periodico
Feature importance analysis of non-coding DNA/RNA sequences based on machine learning approaches (2021)
Almeida, Breno Lívio Silva de; Queiroz, Alvaro Pedroso; Santos, Anderson Paulo Avila ; Bonidia, Robson Parmezan ; Rocha, Ulisses Nunes da ; Sanches, Danilo Sipoli ; Carvalho, André Carlos Ponce de Leon Ferreira de
Source: Lecture Notes in Bioinformatics. Conference titles: Brazilian Symposium on Bioinformatics - BSB. Unidades: ICMC, EESC E ICMC
Subjects: APRENDIZADO COMPUTACIONAL, BIOINFORMÁTICA
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ALMEIDA, Breno Lívio Silva de et al. Feature importance analysis of non-coding DNA/RNA sequences based on machine learning approaches. Lecture Notes in Bioinformatics. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-030-91814-9_8. Acesso em: 01 nov. 2024. , 2021
APA
Almeida, B. L. S. de, Queiroz, A. P., Santos, A. P. A., Bonidia, R. P., Rocha, U. N. da, Sanches, D. S., & Carvalho, A. C. P. de L. F. de. (2021). Feature importance analysis of non-coding DNA/RNA sequences based on machine learning approaches. Lecture Notes in Bioinformatics. Cham: Springer. doi:10.1007/978-3-030-91814-9_8
NLM
Almeida BLS de, Queiroz AP, Santos APA, Bonidia RP, Rocha UN da, Sanches DS, Carvalho ACP de LF de. Feature importance analysis of non-coding DNA/RNA sequences based on machine learning approaches [Internet]. Lecture Notes in Bioinformatics. 2021 ; 13063 81-92.[citado 2024 nov. 01 ] Available from: https://doi.org/10.1007/978-3-030-91814-9_8
Vancouver
Almeida BLS de, Queiroz AP, Santos APA, Bonidia RP, Rocha UN da, Sanches DS, Carvalho ACP de LF de. Feature importance analysis of non-coding DNA/RNA sequences based on machine learning approaches [Internet]. Lecture Notes in Bioinformatics. 2021 ; 13063 81-92.[citado 2024 nov. 01 ] Available from: https://doi.org/10.1007/978-3-030-91814-9_8
Trabalho de evento-anais periodico
MathPIP: classification of proinflammatory peptides using mathematical descriptors (2021)
Cavalcante, João Pedro Uchôa; Gonçalves, Anderson Cardoso; Bonidia, Robson Parmezan ; Sanches, Danilo Sipoli ; Carvalho, André Carlos Ponce de Leon Ferreira de
Source: Lecture Notes in Bioinformatics. Conference titles: Brazilian Symposium on Bioinformatics - BSB. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, BIOINFORMÁTICA
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CAVALCANTE, João Pedro Uchôa et al. MathPIP: classification of proinflammatory peptides using mathematical descriptors. Lecture Notes in Bioinformatics. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-030-91814-9_13. Acesso em: 01 nov. 2024. , 2021
APA
Cavalcante, J. P. U., Gonçalves, A. C., Bonidia, R. P., Sanches, D. S., & Carvalho, A. C. P. de L. F. de. (2021). MathPIP: classification of proinflammatory peptides using mathematical descriptors. Lecture Notes in Bioinformatics. Cham: Springer. doi:10.1007/978-3-030-91814-9_13
NLM
Cavalcante JPU, Gonçalves AC, Bonidia RP, Sanches DS, Carvalho ACP de LF de. MathPIP: classification of proinflammatory peptides using mathematical descriptors [Internet]. Lecture Notes in Bioinformatics. 2021 ; 13063 131-136.[citado 2024 nov. 01 ] Available from: https://doi.org/10.1007/978-3-030-91814-9_13
Vancouver
Cavalcante JPU, Gonçalves AC, Bonidia RP, Sanches DS, Carvalho ACP de LF de. MathPIP: classification of proinflammatory peptides using mathematical descriptors [Internet]. Lecture Notes in Bioinformatics. 2021 ; 13063 131-136.[citado 2024 nov. 01 ] Available from: https://doi.org/10.1007/978-3-030-91814-9_13
Artigo de periodico
Feature extraction approaches for biological sequences: a comparative study of mathematical features (2021)
Bonidia, Robson Parmezan ; Sampaio, Lucas Dias Hiera ; Domingues, Douglas S ; Paschoal, Alexandre Rossi ; Lopes, Fabrício Martins ; Carvalho, André Carlos Ponce de Leon Ferreira de ; Sanches, Danilo Sipoli
Source: Briefings in Bioinformatics. Unidade: ICMC
Subjects: BIOINFORMÁTICA, GENÔMICA, REDES COMPLEXAS, ENTROPIA
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BONIDIA, Robson Parmezan et al. Feature extraction approaches for biological sequences: a comparative study of mathematical features. Briefings in Bioinformatics, v. 22, n. 5, p. Se 2021, 2021Tradução . . Disponível em: https://doi.org/10.1093/bib/bbab011. Acesso em: 01 nov. 2024.
APA
Bonidia, R. P., Sampaio, L. D. H., Domingues, D. S., Paschoal, A. R., Lopes, F. M., Carvalho, A. C. P. de L. F. de, & Sanches, D. S. (2021). Feature extraction approaches for biological sequences: a comparative study of mathematical features. Briefings in Bioinformatics, 22( 5), Se 2021. doi:10.1093/bib/bbab011
NLM
Bonidia RP, Sampaio LDH, Domingues DS, Paschoal AR, Lopes FM, Carvalho ACP de LF de, Sanches DS. Feature extraction approaches for biological sequences: a comparative study of mathematical features [Internet]. Briefings in Bioinformatics. 2021 ; 22( 5): Se 2021.[citado 2024 nov. 01 ] Available from: https://doi.org/10.1093/bib/bbab011
Vancouver
Bonidia RP, Sampaio LDH, Domingues DS, Paschoal AR, Lopes FM, Carvalho ACP de LF de, Sanches DS. Feature extraction approaches for biological sequences: a comparative study of mathematical features [Internet]. Briefings in Bioinformatics. 2021 ; 22( 5): Se 2021.[citado 2024 nov. 01 ] Available from: https://doi.org/10.1093/bib/bbab011
Trabalho de evento-anais periodico
A graph-based crossover and soft-repair operators for the steiner tree problem (2021)
Godoi, Giliard Almeida de; Tinós, Renato ; Sanches, Danilo Sipoli
Source: Lecture Notes in Computer Science. Conference titles: Brazilian Conference on Intelligent Systems - BRACIS. Unidade: FFCLRP
Subjects: TEORIA DOS GRAFOS, OTIMIZAÇÃO COMBINATÓRIA, ALGORITMOS GENÉTICOS
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GODOI, Giliard Almeida de e TINÓS, Renato e SANCHES, Danilo Sipoli. A graph-based crossover and soft-repair operators for the steiner tree problem. Lecture Notes in Computer Science. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-030-91702-9_8. Acesso em: 01 nov. 2024. , 2021
APA
Godoi, G. A. de, Tinós, R., & Sanches, D. S. (2021). A graph-based crossover and soft-repair operators for the steiner tree problem. Lecture Notes in Computer Science. Cham: Springer. doi:10.1007/978-3-030-91702-9_8
NLM
Godoi GA de, Tinós R, Sanches DS. A graph-based crossover and soft-repair operators for the steiner tree problem [Internet]. Lecture Notes in Computer Science. 2021 ; 13073 111-125.[citado 2024 nov. 01 ] Available from: https://doi.org/10.1007/978-3-030-91702-9_8
Vancouver
Godoi GA de, Tinós R, Sanches DS. A graph-based crossover and soft-repair operators for the steiner tree problem [Internet]. Lecture Notes in Computer Science. 2021 ; 13073 111-125.[citado 2024 nov. 01 ] Available from: https://doi.org/10.1007/978-3-030-91702-9_8
Artigo de periodico
CRISPRloci: comprehensive and accurate annotation of CRISPR-Cas systems (2021)
Alkhnbashi, Omer S ; Mitrofanov, Alexander; Bonidia, Robson Parmezan ; Raden, Martin ; Tran, Van Dinh ; Eggenhofer, Florian ; Shah, Shiraz A ; Ozturk, Ekrem; Padilha, Victor Alexandre ; Sanches, Danilo Sipoli ; Carvalho, André Carlos Ponce de Leon Ferreira de ; Backofen, Rolf
Source: Nucleic Acids Research. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, BIOINFORMÁTICA, GENES
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ALKHNBASHI, Omer S et al. CRISPRloci: comprehensive and accurate annotation of CRISPR-Cas systems. Nucleic Acids Research, v. 49, p. w125-w130, 2021Tradução . . Disponível em: https://doi.org/10.1093/nar/gkab456. Acesso em: 01 nov. 2024.
APA
Alkhnbashi, O. S., Mitrofanov, A., Bonidia, R. P., Raden, M., Tran, V. D., Eggenhofer, F., et al. (2021). CRISPRloci: comprehensive and accurate annotation of CRISPR-Cas systems. Nucleic Acids Research, 49, w125-w130. doi:10.1093/nar/gkab456
NLM
Alkhnbashi OS, Mitrofanov A, Bonidia RP, Raden M, Tran VD, Eggenhofer F, Shah SA, Ozturk E, Padilha VA, Sanches DS, Carvalho ACP de LF de, Backofen R. CRISPRloci: comprehensive and accurate annotation of CRISPR-Cas systems [Internet]. Nucleic Acids Research. 2021 ; 49 w125-w130.[citado 2024 nov. 01 ] Available from: https://doi.org/10.1093/nar/gkab456
Vancouver
Alkhnbashi OS, Mitrofanov A, Bonidia RP, Raden M, Tran VD, Eggenhofer F, Shah SA, Ozturk E, Padilha VA, Sanches DS, Carvalho ACP de LF de, Backofen R. CRISPRloci: comprehensive and accurate annotation of CRISPR-Cas systems [Internet]. Nucleic Acids Research. 2021 ; 49 w125-w130.[citado 2024 nov. 01 ] Available from: https://doi.org/10.1093/nar/gkab456
Parte de monografia/livro
Computational analysis of transposable elements and CircRNAs in plants (2021)
Oliveira, Liliane Santana; Patera, Andressa Caroline; Domingues, Douglas Silva ; Sanches, Danilo Sipoli; Lopes, Fabricio Martins; Bugatti, Pedro Henrique; Saito, Priscila Tiemi Maeda; Maracaja-Coutinho, Vinicius; Durham, Alan Mitchell; Paschoal, Alexandre Rossi
Source: Plant circular RNAs: methods and protocols. Unidade: ESALQ
Assunto: BANCO DE DADOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
OLIVEIRA, Liliane Santana et al. Computational analysis of transposable elements and CircRNAs in plants. Plant circular RNAs: methods and protocols. Tradução . New York, NY: Escola Superior de Agricultura Luiz de Queiroz, Universidade de São Paulo, 2021. . Disponível em: https://doi.org/10.1007/978-1-0716-1645-1_9. Acesso em: 01 nov. 2024.
APA
Oliveira, L. S., Patera, A. C., Domingues, D. S., Sanches, D. S., Lopes, F. M., Bugatti, P. H., et al. (2021). Computational analysis of transposable elements and CircRNAs in plants. In Plant circular RNAs: methods and protocols. New York, NY: Escola Superior de Agricultura Luiz de Queiroz, Universidade de São Paulo. doi:10.1007/978-1-0716-1645-1_9
NLM
Oliveira LS, Patera AC, Domingues DS, Sanches DS, Lopes FM, Bugatti PH, Saito PTM, Maracaja-Coutinho V, Durham AM, Paschoal AR. Computational analysis of transposable elements and CircRNAs in plants [Internet]. In: Plant circular RNAs: methods and protocols. New York, NY: Escola Superior de Agricultura Luiz de Queiroz, Universidade de São Paulo; 2021. [citado 2024 nov. 01 ] Available from: https://doi.org/10.1007/978-1-0716-1645-1_9
Vancouver
Oliveira LS, Patera AC, Domingues DS, Sanches DS, Lopes FM, Bugatti PH, Saito PTM, Maracaja-Coutinho V, Durham AM, Paschoal AR. Computational analysis of transposable elements and CircRNAs in plants [Internet]. In: Plant circular RNAs: methods and protocols. New York, NY: Escola Superior de Agricultura Luiz de Queiroz, Universidade de São Paulo; 2021. [citado 2024 nov. 01 ] Available from: https://doi.org/10.1007/978-1-0716-1645-1_9
Artigo de periodico
A novel decomposing model with evolutionary algorithms for feature selection in long non-coding RNAs (2020)
Bonidia, Robson Parmezan ; Machida, Jaqueline Sayuri; Negri, Tatianne Costa ; Alves, Wonder Alexandre Luz ; Kashiwabara, André Yoshiaki ; Domingues, Douglas S ; Carvalho, André Carlos Ponce de Leon Ferreira de ; Paschoal, Alexandre Rossi ; Sanches, Danilo Sipoli
Source: IEEE Access. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, BIOINFORMÁTICA, HEURÍSTICA, ALGORITMOS GENÉTICOS, RNA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
BONIDIA, Robson Parmezan et al. A novel decomposing model with evolutionary algorithms for feature selection in long non-coding RNAs. IEEE Access, v. 8, p. 181683-181697, 2020Tradução . . Disponível em: https://doi.org/10.1109/ACCESS.2020.3028039. Acesso em: 01 nov. 2024.
APA
Bonidia, R. P., Machida, J. S., Negri, T. C., Alves, W. A. L., Kashiwabara, A. Y., Domingues, D. S., et al. (2020). A novel decomposing model with evolutionary algorithms for feature selection in long non-coding RNAs. IEEE Access, 8, 181683-181697. doi:10.1109/ACCESS.2020.3028039
NLM
Bonidia RP, Machida JS, Negri TC, Alves WAL, Kashiwabara AY, Domingues DS, Carvalho ACP de LF de, Paschoal AR, Sanches DS. A novel decomposing model with evolutionary algorithms for feature selection in long non-coding RNAs [Internet]. IEEE Access. 2020 ; 8 181683-181697.[citado 2024 nov. 01 ] Available from: https://doi.org/10.1109/ACCESS.2020.3028039
Vancouver
Bonidia RP, Machida JS, Negri TC, Alves WAL, Kashiwabara AY, Domingues DS, Carvalho ACP de LF de, Paschoal AR, Sanches DS. A novel decomposing model with evolutionary algorithms for feature selection in long non-coding RNAs [Internet]. IEEE Access. 2020 ; 8 181683-181697.[citado 2024 nov. 01 ] Available from: https://doi.org/10.1109/ACCESS.2020.3028039
Trabalho de evento
Selecting the most relevant features for the identification of long non-coding RNAs in plants (2019)
Bonidia, Robson P ; Carvalho, André Carlos Ponce de Leon Ferreira de ; Paschoal, Alexandre Rossi ; Sanches, Danilo Sipoli
Source: Proceedings. Conference titles: Brazilian Conference on Intelligent Systems - BRACIS. Unidade: ICMC
Subjects: BIOINFORMÁTICA, HEURÍSTICA, ALGORITMOS GENÉTICOS, APRENDIZADO COMPUTACIONAL, RNA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
BONIDIA, Robson P et al. Selecting the most relevant features for the identification of long non-coding RNAs in plants. 2019, Anais.. Piscataway: IEEE, 2019. Disponível em: https://doi.org/10.1109/BRACIS.2019.00100. Acesso em: 01 nov. 2024.
APA
Bonidia, R. P., Carvalho, A. C. P. de L. F. de, Paschoal, A. R., & Sanches, D. S. (2019). Selecting the most relevant features for the identification of long non-coding RNAs in plants. In Proceedings. Piscataway: IEEE. doi:10.1109/BRACIS.2019.00100
NLM
Bonidia RP, Carvalho ACP de LF de, Paschoal AR, Sanches DS. Selecting the most relevant features for the identification of long non-coding RNAs in plants [Internet]. Proceedings. 2019 ;[citado 2024 nov. 01 ] Available from: https://doi.org/10.1109/BRACIS.2019.00100
Vancouver
Bonidia RP, Carvalho ACP de LF de, Paschoal AR, Sanches DS. Selecting the most relevant features for the identification of long non-coding RNAs in plants [Internet]. Proceedings. 2019 ;[citado 2024 nov. 01 ] Available from: https://doi.org/10.1109/BRACIS.2019.00100
Trabalho de evento
A new method for identification of recombining components in the generalized partition crossover (2019)
Carvalho, Ozeas Quevedo de; Tinós, Renato ; Whitley, Darrell; Sanches, Danilo Sipoli
Source: Proceedings. Conference titles: Brazilian Conference on Intelligent Systems (BRACIS). Unidade: FFCLRP
Assunto: OTIMIZAÇÃO COMBINATÓRIA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
CARVALHO, Ozeas Quevedo de et al. A new method for identification of recombining components in the generalized partition crossover. 2019, Anais.. Piscataway: IEEE, 2019. Disponível em: https://doi.org/10.1109/BRACIS.2019.00016. Acesso em: 01 nov. 2024.
APA
Carvalho, O. Q. de, Tinós, R., Whitley, D., & Sanches, D. S. (2019). A new method for identification of recombining components in the generalized partition crossover. In Proceedings. Piscataway: IEEE. doi:10.1109/BRACIS.2019.00016
NLM
Carvalho OQ de, Tinós R, Whitley D, Sanches DS. A new method for identification of recombining components in the generalized partition crossover [Internet]. Proceedings. 2019 ;[citado 2024 nov. 01 ] Available from: https://doi.org/10.1109/BRACIS.2019.00016
Vancouver
Carvalho OQ de, Tinós R, Whitley D, Sanches DS. A new method for identification of recombining components in the generalized partition crossover [Internet]. Proceedings. 2019 ;[citado 2024 nov. 01 ] Available from: https://doi.org/10.1109/BRACIS.2019.00016
Artigo de periodico
Analysis of solution quality of multiobjective evolutionary algorithms for service restoration in distribution systems (2017)
Sanches, Danilo Sipoli; Castoldi, Marcelo Favoretto; London Junior, João Bosco Augusto; Delbem, Alexandre Cláudio Botazzo
Source: Journal of Control, Automation and Electrical Systems. Unidades: EESC, ICMC
Subjects: SISTEMAS DISTRIBUÍDOS, SISTEMAS EMBUTIDOS, ALGORITMOS GENÉTICOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SANCHES, Danilo Sipoli et al. Analysis of solution quality of multiobjective evolutionary algorithms for service restoration in distribution systems. Journal of Control, Automation and Electrical Systems, v. 28, n. 6, p. 796-805, 2017Tradução . . Disponível em: https://doi.org/10.1007/s40313-017-0344-9. Acesso em: 01 nov. 2024.
APA
Sanches, D. S., Castoldi, M. F., London Junior, J. B. A., & Delbem, A. C. B. (2017). Analysis of solution quality of multiobjective evolutionary algorithms for service restoration in distribution systems. Journal of Control, Automation and Electrical Systems, 28( 6), 796-805. doi:10.1007/s40313-017-0344-9
NLM
Sanches DS, Castoldi MF, London Junior JBA, Delbem ACB. Analysis of solution quality of multiobjective evolutionary algorithms for service restoration in distribution systems [Internet]. Journal of Control, Automation and Electrical Systems. 2017 ; 28( 6): 796-805.[citado 2024 nov. 01 ] Available from: https://doi.org/10.1007/s40313-017-0344-9
Vancouver
Sanches DS, Castoldi MF, London Junior JBA, Delbem ACB. Analysis of solution quality of multiobjective evolutionary algorithms for service restoration in distribution systems [Internet]. Journal of Control, Automation and Electrical Systems. 2017 ; 28( 6): 796-805.[citado 2024 nov. 01 ] Available from: https://doi.org/10.1007/s40313-017-0344-9
Trabalho de evento-anais periodico
Multi-objective evolutionary algorithm with discrete differential mutation operator for service restoration in large-scale distribution systems (2015)
Sanches, Danilo Sipoli; Lima, Telma Woerle de; London Junior, João Bosco Augusto; Delbem, Alexandre Cláudio Botazzo ; Prado, Ricardo Sérgio; Guimarães, Frederico Gadelha
Source: Lecture Notes in Computer Science (LNCS). Conference titles: International Conference Evolutionary Multi-Criterion Optimization - EMO. Unidades: EESC, ICMC
Subjects: SISTEMAS EMBUTIDOS, COMPUTAÇÃO EVOLUTIVA, ROBÓTICA, SISTEMAS ELÉTRICOS DE POTÊNCIA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SANCHES, Danilo Sipoli et al. Multi-objective evolutionary algorithm with discrete differential mutation operator for service restoration in large-scale distribution systems. Lecture Notes in Computer Science (LNCS). Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-319-15892-1_34. Acesso em: 01 nov. 2024. , 2015
APA
Sanches, D. S., Lima, T. W. de, London Junior, J. B. A., Delbem, A. C. B., Prado, R. S., & Guimarães, F. G. (2015). Multi-objective evolutionary algorithm with discrete differential mutation operator for service restoration in large-scale distribution systems. Lecture Notes in Computer Science (LNCS). Cham: Springer. doi:10.1007/978-3-319-15892-1_34
NLM
Sanches DS, Lima TW de, London Junior JBA, Delbem ACB, Prado RS, Guimarães FG. Multi-objective evolutionary algorithm with discrete differential mutation operator for service restoration in large-scale distribution systems [Internet]. Lecture Notes in Computer Science (LNCS). 2015 ; 9019 498-513.[citado 2024 nov. 01 ] Available from: https://doi.org/10.1007/978-3-319-15892-1_34
Vancouver
Sanches DS, Lima TW de, London Junior JBA, Delbem ACB, Prado RS, Guimarães FG. Multi-objective evolutionary algorithm with discrete differential mutation operator for service restoration in large-scale distribution systems [Internet]. Lecture Notes in Computer Science (LNCS). 2015 ; 9019 498-513.[citado 2024 nov. 01 ] Available from: https://doi.org/10.1007/978-3-319-15892-1_34
Artigo de periodico-divulgacao
Corrigendum to "A hybrid algorithm to tune power oscillation dampers for FACTS devices" [Control Eng. Pract. 24 (2014) 25-32] (2014)
Castoldi, Marcelo Favoretto; Sanches, Danilo Sipoli; Mansour, Moussa Reda; Bretas, Newton Geraldo; Ramos, Rodrigo Andrade
Source: Control Engineering Practice. Unidade: EESC
Subjects: ALGORITMOS, ARQUITETURA E ORGANIZAÇÃO DE COMPUTADORES
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
CASTOLDI, Marcelo Favoretto et al. Corrigendum to "A hybrid algorithm to tune power oscillation dampers for FACTS devices" [Control Eng. Pract. 24 (2014) 25-32]. Control Engineering Practice. Kidlington: Escola de Engenharia de São Carlos, Universidade de São Paulo. Disponível em: https://doi.org/10.1016/j.conengprac.2014.02.009. Acesso em: 01 nov. 2024. , 2014
APA
Castoldi, M. F., Sanches, D. S., Mansour, M. R., Bretas, N. G., & Ramos, R. A. (2014). Corrigendum to "A hybrid algorithm to tune power oscillation dampers for FACTS devices" [Control Eng. Pract. 24 (2014) 25-32]. Control Engineering Practice. Kidlington: Escola de Engenharia de São Carlos, Universidade de São Paulo. doi:10.1016/j.conengprac.2014.02.009
NLM
Castoldi MF, Sanches DS, Mansour MR, Bretas NG, Ramos RA. Corrigendum to "A hybrid algorithm to tune power oscillation dampers for FACTS devices" [Control Eng. Pract. 24 (2014) 25-32] [Internet]. Control Engineering Practice. 2014 ; 27 74-75.[citado 2024 nov. 01 ] Available from: https://doi.org/10.1016/j.conengprac.2014.02.009
Vancouver
Castoldi MF, Sanches DS, Mansour MR, Bretas NG, Ramos RA. Corrigendum to "A hybrid algorithm to tune power oscillation dampers for FACTS devices" [Control Eng. Pract. 24 (2014) 25-32] [Internet]. Control Engineering Practice. 2014 ; 27 74-75.[citado 2024 nov. 01 ] Available from: https://doi.org/10.1016/j.conengprac.2014.02.009

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