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Trabalho de evento
A study of biclustering coherence measures for gene expression data (2018)
Padilha, Victor A; Carvalho, André Carlos Ponce de Leon Ferreira de
Source: Proceedings. Conference titles: Brazilian Conference on Intelligent Systems - BRACIS. Unidade: ICMC
Subjects: BIOINFORMÁTICA, RECONHECIMENTO DE PADRÕES, EXPRESSÃO GÊNICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
PADILHA, Victor A e CARVALHO, André Carlos Ponce de Leon Ferreira de. A study of biclustering coherence measures for gene expression data. 2018, Anais.. Piscataway: IEEE, 2018. Disponível em: https://doi.org/10.1109/BRACIS.2018.00100. Acesso em: 07 nov. 2024.
APA
Padilha, V. A., & Carvalho, A. C. P. de L. F. de. (2018). A study of biclustering coherence measures for gene expression data. In Proceedings. Piscataway: IEEE. doi:10.1109/BRACIS.2018.00100
NLM
Padilha VA, Carvalho ACP de LF de. A study of biclustering coherence measures for gene expression data [Internet]. Proceedings. 2018 ;[citado 2024 nov. 07 ] Available from: https://doi.org/10.1109/BRACIS.2018.00100
Vancouver
Padilha VA, Carvalho ACP de LF de. A study of biclustering coherence measures for gene expression data [Internet]. Proceedings. 2018 ;[citado 2024 nov. 07 ] Available from: https://doi.org/10.1109/BRACIS.2018.00100
Trabalho de evento
Multi-label feature selection techniques for hierarchical multi-label protein function prediction (2018)
Cerri, Ricardo; Mantovani, Rafael G; Basgalupp, Márcio P; Carvalho, André Carlos Ponce de Leon Ferreira de
Source: Proceedings. Conference titles: International Joint Conference on Neural Networks - IJCNN. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, RECONHECIMENTO DE PADRÕES, BIOINFORMÁTICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
CERRI, Ricardo et al. Multi-label feature selection techniques for hierarchical multi-label protein function prediction. 2018, Anais.. Piscataway: IEEE, 2018. Disponível em: https://doi.org/10.1109/IJCNN.2018.8489247. Acesso em: 07 nov. 2024.
APA
Cerri, R., Mantovani, R. G., Basgalupp, M. P., & Carvalho, A. C. P. de L. F. de. (2018). Multi-label feature selection techniques for hierarchical multi-label protein function prediction. In Proceedings. Piscataway: IEEE. doi:10.1109/IJCNN.2018.8489247
NLM
Cerri R, Mantovani RG, Basgalupp MP, Carvalho ACP de LF de. Multi-label feature selection techniques for hierarchical multi-label protein function prediction [Internet]. Proceedings. 2018 ;[citado 2024 nov. 07 ] Available from: https://doi.org/10.1109/IJCNN.2018.8489247
Vancouver
Cerri R, Mantovani RG, Basgalupp MP, Carvalho ACP de LF de. Multi-label feature selection techniques for hierarchical multi-label protein function prediction [Internet]. Proceedings. 2018 ;[citado 2024 nov. 07 ] Available from: https://doi.org/10.1109/IJCNN.2018.8489247
Trabalho de evento
Budding yeast cell cycle modeled by context-sensitive probabilistic Boolean network (2009)
Hashimoto, Ronaldo Fumio ; Stagni, Henrique ; Higa, Carlos Henrique Aguena
Source: Proceedings. Conference titles: International Workshop on Genomic Signal Processing and Statistics - GENSIPS. Unidade: IME
Subjects: BIOINFORMÁTICA, PROCESSAMENTO DE SINAIS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
HASHIMOTO, Ronaldo Fumio e STAGNI, Henrique e HIGA, Carlos Henrique Aguena. Budding yeast cell cycle modeled by context-sensitive probabilistic Boolean network. 2009, Anais.. Piscataway: IEEE, 2009. Disponível em: https://doi.org/10.1109/GENSIPS.2009.5174356. Acesso em: 07 nov. 2024.
APA
Hashimoto, R. F., Stagni, H., & Higa, C. H. A. (2009). Budding yeast cell cycle modeled by context-sensitive probabilistic Boolean network. In Proceedings. Piscataway: IEEE. doi:10.1109/GENSIPS.2009.5174356
NLM
Hashimoto RF, Stagni H, Higa CHA. Budding yeast cell cycle modeled by context-sensitive probabilistic Boolean network [Internet]. Proceedings. 2009 ;[citado 2024 nov. 07 ] Available from: https://doi.org/10.1109/GENSIPS.2009.5174356
Vancouver
Hashimoto RF, Stagni H, Higa CHA. Budding yeast cell cycle modeled by context-sensitive probabilistic Boolean network [Internet]. Proceedings. 2009 ;[citado 2024 nov. 07 ] Available from: https://doi.org/10.1109/GENSIPS.2009.5174356
Trabalho de evento
Inference of gene regulatory network using temporal coefficient of determination obtained from ergodic Markov chains (2009)
Higa, Carlos Henrique Aguena; Hashimoto, Ronaldo Fumio ; Hirata Júnior, Roberto ; Hirata, Nina Sumiko Tomita ; Santos, Carlos S
Source: Proceedings. Conference titles: International Workshop on Genomic Signal Processing and Statistics - GENSIPS. Unidade: IME
Subjects: BIOINFORMÁTICA, PROCESSOS DE MARKOV
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
HIGA, Carlos Henrique Aguena et al. Inference of gene regulatory network using temporal coefficient of determination obtained from ergodic Markov chains. 2009, Anais.. Piscataway: IEEE, 2009. Disponível em: https://doi.org/10.1109/GENSIPS.2009.5174368. Acesso em: 07 nov. 2024.
APA
Higa, C. H. A., Hashimoto, R. F., Hirata Júnior, R., Hirata, N. S. T., & Santos, C. S. (2009). Inference of gene regulatory network using temporal coefficient of determination obtained from ergodic Markov chains. In Proceedings. Piscataway: IEEE. doi:10.1109/GENSIPS.2009.5174368
NLM
Higa CHA, Hashimoto RF, Hirata Júnior R, Hirata NST, Santos CS. Inference of gene regulatory network using temporal coefficient of determination obtained from ergodic Markov chains [Internet]. Proceedings. 2009 ;[citado 2024 nov. 07 ] Available from: https://doi.org/10.1109/GENSIPS.2009.5174368
Vancouver
Higa CHA, Hashimoto RF, Hirata Júnior R, Hirata NST, Santos CS. Inference of gene regulatory network using temporal coefficient of determination obtained from ergodic Markov chains [Internet]. Proceedings. 2009 ;[citado 2024 nov. 07 ] Available from: https://doi.org/10.1109/GENSIPS.2009.5174368

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