ReP USP - Resultado da busca

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
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
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: 20 nov. 2025. , 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 2025 nov. 20 ] 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 2025 nov. 20 ] 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
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
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: 20 nov. 2025. , 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 2025 nov. 20 ] 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 2025 nov. 20 ] Available from: https://doi.org/10.1007/978-3-030-91814-9_13
Trabalho de evento-anais periodico
'S POT.2' FS: single score feature selection applied to the problem of distinguishing long non-coding RNAs from protein coding transcripts (2018)
Kümmel, Bruno C; Carvalho, André Carlos Ponce de Leon Ferreira de ; Brigido, Marcelo M; Ralha, Célia Ghedini; Walter, Maria Emilia M. T.
Source: Lecture Notes in Bioinformatics. Conference titles: Brazilian Symposium on Bioinformatics - BSB. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, BIOINFORMÁTICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
KÜMMEL, Bruno C et al. 'S POT.2' FS: single score feature selection applied to the problem of distinguishing long non-coding RNAs from protein coding transcripts. Lecture Notes in Bioinformatics. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-030-01722-4_10. Acesso em: 20 nov. 2025. , 2018
APA
Kümmel, B. C., Carvalho, A. C. P. de L. F. de, Brigido, M. M., Ralha, C. G., & Walter, M. E. M. T. (2018). 'S POT.2' FS: single score feature selection applied to the problem of distinguishing long non-coding RNAs from protein coding transcripts. Lecture Notes in Bioinformatics. Cham: Springer. doi:10.1007/978-3-030-01722-4_10
NLM
Kümmel BC, Carvalho ACP de LF de, Brigido MM, Ralha CG, Walter MEMT. 'S POT.2' FS: single score feature selection applied to the problem of distinguishing long non-coding RNAs from protein coding transcripts [Internet]. Lecture Notes in Bioinformatics. 2018 ; 11228 103-113.[citado 2025 nov. 20 ] Available from: https://doi.org/10.1007/978-3-030-01722-4_10
Vancouver
Kümmel BC, Carvalho ACP de LF de, Brigido MM, Ralha CG, Walter MEMT. 'S POT.2' FS: single score feature selection applied to the problem of distinguishing long non-coding RNAs from protein coding transcripts [Internet]. Lecture Notes in Bioinformatics. 2018 ; 11228 103-113.[citado 2025 nov. 20 ] Available from: https://doi.org/10.1007/978-3-030-01722-4_10
Trabalho de evento-anais periodico
An extensible framework for genomic and metagenomic analysis (2014)
Digiampietri, Luciano Antonio ; Pereira, Vivian Mayumi Yamassaki; Costa, Camila I.; Santos Júnior, Geraldo Jose dos; Stefanini, Fernando M.; Santiago, Caio Rafael do Nascimento
Source: Lecture Notes in Bioinformatics. Conference titles: Brazilian Symposium on Bioinformatics. Unidade: EACH
Subjects: BIOINFORMÁTICA, GENOMAS, GENÔMICA, FRAMEWORKS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
DIGIAMPIETRI, Luciano Antonio et al. An extensible framework for genomic and metagenomic analysis. Lecture Notes in Bioinformatics. Cham: Escola de Artes, Ciências e Humanidades, Universidade de São Paulo. Disponível em: https://doi.org/10.1007/978-3-319-12418-6_1. Acesso em: 20 nov. 2025. , 2014
APA
Digiampietri, L. A., Pereira, V. M. Y., Costa, C. I., Santos Júnior, G. J. dos, Stefanini, F. M., & Santiago, C. R. do N. (2014). An extensible framework for genomic and metagenomic analysis. Lecture Notes in Bioinformatics. Cham: Escola de Artes, Ciências e Humanidades, Universidade de São Paulo. doi:10.1007/978-3-319-12418-6_1
NLM
Digiampietri LA, Pereira VMY, Costa CI, Santos Júnior GJ dos, Stefanini FM, Santiago CR do N. An extensible framework for genomic and metagenomic analysis [Internet]. Lecture Notes in Bioinformatics. 2014 ; 8826 1-8.[citado 2025 nov. 20 ] Available from: https://doi.org/10.1007/978-3-319-12418-6_1
Vancouver
Digiampietri LA, Pereira VMY, Costa CI, Santos Júnior GJ dos, Stefanini FM, Santiago CR do N. An extensible framework for genomic and metagenomic analysis [Internet]. Lecture Notes in Bioinformatics. 2014 ; 8826 1-8.[citado 2025 nov. 20 ] Available from: https://doi.org/10.1007/978-3-319-12418-6_1
Trabalho de evento-anais periodico
Top-down hierarchical ensembles of classifiers for predicting G-protein-coupled-receptor functions (2008)
Costa, Eduardo P.; Lorena, Ana Carolina; Carvalho, André Carlos Ponce de Leon Ferreira de ; Freitas, Alex A.
Source: Lecture Notes in Bioinformatics. Conference titles: Brazilian Symposium on Bioinformatics - BSB 2008. Unidade: ICMC
Subjects: BIOINFORMÁTICA, COMPUTAÇÃO BIOINSPIRADA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
COSTA, Eduardo P. et al. Top-down hierarchical ensembles of classifiers for predicting G-protein-coupled-receptor functions. Lecture Notes in Bioinformatics. Berlin: Springer. Disponível em: http://www.springerlink.com/content/u0530m52723v/?p=f41f3d06b37f495698fa200b3e7f1666&pi=91. Acesso em: 20 nov. 2025. , 2008
APA
Costa, E. P., Lorena, A. C., Carvalho, A. C. P. de L. F. de, & Freitas, A. A. (2008). Top-down hierarchical ensembles of classifiers for predicting G-protein-coupled-receptor functions. Lecture Notes in Bioinformatics. Berlin: Springer. Recuperado de http://www.springerlink.com/content/u0530m52723v/?p=f41f3d06b37f495698fa200b3e7f1666&pi=91
NLM
Costa EP, Lorena AC, Carvalho ACP de LF de, Freitas AA. Top-down hierarchical ensembles of classifiers for predicting G-protein-coupled-receptor functions [Internet]. Lecture Notes in Bioinformatics. 2008 ; 5167 35-46.[citado 2025 nov. 20 ] Available from: http://www.springerlink.com/content/u0530m52723v/?p=f41f3d06b37f495698fa200b3e7f1666&pi=91
Vancouver
Costa EP, Lorena AC, Carvalho ACP de LF de, Freitas AA. Top-down hierarchical ensembles of classifiers for predicting G-protein-coupled-receptor functions [Internet]. Lecture Notes in Bioinformatics. 2008 ; 5167 35-46.[citado 2025 nov. 20 ] Available from: http://www.springerlink.com/content/u0530m52723v/?p=f41f3d06b37f495698fa200b3e7f1666&pi=91

USP Schools

ReP

Filtros

Authors

USP affiliated authors

Subjects

Indexado em