ReP USP - Resultado da busca

Artigo de periodico
Modularity and evolutionary constraints in a baculovirus gene regulatory network (2013)
Oliveira, Juliana Velasco; Brito, Anderson Fernandes de; Braconi, Carla Torres; Freire, Caio César de Melo; Iamarino, Atila; Zanotto, Paolo Marinho de Andrade
Source: BMC Systems Biology. Unidade: ICB
Assunto: MICROBIOLOGIA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
OLIVEIRA, Juliana Velasco et al. Modularity and evolutionary constraints in a baculovirus gene regulatory network. BMC Systems Biology, v. 7, p. 1-15, 2013Tradução . . Disponível em: https://doi.org/10.1186/1752-0509-7-87. Acesso em: 03 nov. 2024.
APA
Oliveira, J. V., Brito, A. F. de, Braconi, C. T., Freire, C. C. de M., Iamarino, A., & Zanotto, P. M. de A. (2013). Modularity and evolutionary constraints in a baculovirus gene regulatory network. BMC Systems Biology, 7, 1-15. doi:10.1186/1752-0509-7-87
NLM
Oliveira JV, Brito AF de, Braconi CT, Freire CC de M, Iamarino A, Zanotto PM de A. Modularity and evolutionary constraints in a baculovirus gene regulatory network [Internet]. BMC Systems Biology. 2013 ; 7 1-15.[citado 2024 nov. 03 ] Available from: https://doi.org/10.1186/1752-0509-7-87
Vancouver
Oliveira JV, Brito AF de, Braconi CT, Freire CC de M, Iamarino A, Zanotto PM de A. Modularity and evolutionary constraints in a baculovirus gene regulatory network [Internet]. BMC Systems Biology. 2013 ; 7 1-15.[citado 2024 nov. 03 ] Available from: https://doi.org/10.1186/1752-0509-7-87
Artigo de periodico
Functional clustering of time series gene expression data by Granger causality (2012)
Fujita, André ; Severino, Patrícia ; Kaname, Kojima ; Sato, João Ricardo ; Patriota, Alexandre Galvão ; Miyano, Satoru
Source: BMC Systems Biology. Unidade: IME
Subjects: BIOQUÍMICA, ANÁLISE DE DADOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
FUJITA, André et al. Functional clustering of time series gene expression data by Granger causality. BMC Systems Biology, v. 6, n. 137, p. 1-12, 2012Tradução . . Disponível em: https://doi.org/10.1186/1752-0509-6-137. Acesso em: 03 nov. 2024.
APA
Fujita, A., Severino, P., Kaname, K., Sato, J. R., Patriota, A. G., & Miyano, S. (2012). Functional clustering of time series gene expression data by Granger causality. BMC Systems Biology, 6( 137), 1-12. doi:10.1186/1752-0509-6-137
NLM
Fujita A, Severino P, Kaname K, Sato JR, Patriota AG, Miyano S. Functional clustering of time series gene expression data by Granger causality [Internet]. BMC Systems Biology. 2012 ; 6( 137): 1-12.[citado 2024 nov. 03 ] Available from: https://doi.org/10.1186/1752-0509-6-137
Vancouver
Fujita A, Severino P, Kaname K, Sato JR, Patriota AG, Miyano S. Functional clustering of time series gene expression data by Granger causality [Internet]. BMC Systems Biology. 2012 ; 6( 137): 1-12.[citado 2024 nov. 03 ] Available from: https://doi.org/10.1186/1752-0509-6-137
Artigo de periodico
Inference of gene regulatory networks from time series by Tsallis entropy (2011)
Lopes, Fabrício Martins; Oliveira, Evaldo A. de; César Júnior, Roberto Marcondes
Source: BMC Systems Biology. Unidade: IME
Assunto: REDES COMPLEXAS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
LOPES, Fabrício Martins e OLIVEIRA, Evaldo A. de e CÉSAR JÚNIOR, Roberto Marcondes. Inference of gene regulatory networks from time series by Tsallis entropy. BMC Systems Biology, v. 5, 2011Tradução . . Disponível em: https://doi.org/10.1186/1752-0509-5-61. Acesso em: 03 nov. 2024.
APA
Lopes, F. M., Oliveira, E. A. de, & César Júnior, R. M. (2011). Inference of gene regulatory networks from time series by Tsallis entropy. BMC Systems Biology, 5. doi:10.1186/1752-0509-5-61
NLM
Lopes FM, Oliveira EA de, César Júnior RM. Inference of gene regulatory networks from time series by Tsallis entropy [Internet]. BMC Systems Biology. 2011 ; 5[citado 2024 nov. 03 ] Available from: https://doi.org/10.1186/1752-0509-5-61
Vancouver
Lopes FM, Oliveira EA de, César Júnior RM. Inference of gene regulatory networks from time series by Tsallis entropy [Internet]. BMC Systems Biology. 2011 ; 5[citado 2024 nov. 03 ] Available from: https://doi.org/10.1186/1752-0509-5-61
Artigo de periodico
Large scale physiological readjustment during growth enables rapid, comprehensive and inexpensive systems analysis (2010)
Facciotti, Marc T.; Pang, Wyming L.; Lo, Fang-yin; Whitehead, Kenia; Koide, Tie; Masumura, Ken-ichi; Pan, Min; Kaur, Amardeep; Larsen, David J.; Reiss, David J.; Hoang, Linh; Kalisiak, Ewa; Northen, Tren; Trauger, Sunia A.; Siuzdak, Gary; Baliga, Nitin S.
Source: BMC Systems Biology. Unidade: FMRP
Assunto: BIOINFORMÁTICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
FACCIOTTI, Marc T. et al. Large scale physiological readjustment during growth enables rapid, comprehensive and inexpensive systems analysis. BMC Systems Biology, v. 4, 2010Tradução . . Disponível em: https://doi.org/10.1186/1752-0509-4-64. Acesso em: 03 nov. 2024.
APA
Facciotti, M. T., Pang, W. L., Lo, F. -yin, Whitehead, K., Koide, T., Masumura, K. -ichi, et al. (2010). Large scale physiological readjustment during growth enables rapid, comprehensive and inexpensive systems analysis. BMC Systems Biology, 4. doi:10.1186/1752-0509-4-64
NLM
Facciotti MT, Pang WL, Lo F-yin, Whitehead K, Koide T, Masumura K-ichi, Pan M, Kaur A, Larsen DJ, Reiss DJ, Hoang L, Kalisiak E, Northen T, Trauger SA, Siuzdak G, Baliga NS. Large scale physiological readjustment during growth enables rapid, comprehensive and inexpensive systems analysis [Internet]. BMC Systems Biology. 2010 ; 4[citado 2024 nov. 03 ] Available from: https://doi.org/10.1186/1752-0509-4-64
Vancouver
Facciotti MT, Pang WL, Lo F-yin, Whitehead K, Koide T, Masumura K-ichi, Pan M, Kaur A, Larsen DJ, Reiss DJ, Hoang L, Kalisiak E, Northen T, Trauger SA, Siuzdak G, Baliga NS. Large scale physiological readjustment during growth enables rapid, comprehensive and inexpensive systems analysis [Internet]. BMC Systems Biology. 2010 ; 4[citado 2024 nov. 03 ] Available from: https://doi.org/10.1186/1752-0509-4-64
Artigo de periodico
Modeling gene expression regulatory networks with the sparse vector autoregressive model (2007)
Fujita, André ; Sato, João Ricardo; Garay-Malpartida, Humberto Miguel; Yamaguchi, Rui; Miyano, Satoru; Sogayar, Mari Cleide ; Ferreira, Carlos Eduardo
Source: BMC Systems Biology. Unidades: IQ, IME, BIOINFORMÁTICA
Subjects: EXPRESSÃO GÊNICA, BIOQUÍMICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
FUJITA, André et al. Modeling gene expression regulatory networks with the sparse vector autoregressive model. BMC Systems Biology, v. 1, n. 39, p. 1-11, 2007Tradução . . Disponível em: https://doi.org/10.1186/1752-0509-1-39. Acesso em: 03 nov. 2024.
APA
Fujita, A., Sato, J. R., Garay-Malpartida, H. M., Yamaguchi, R., Miyano, S., Sogayar, M. C., & Ferreira, C. E. (2007). Modeling gene expression regulatory networks with the sparse vector autoregressive model. BMC Systems Biology, 1( 39), 1-11. doi:10.1186/1752-0509-1-39
NLM
Fujita A, Sato JR, Garay-Malpartida HM, Yamaguchi R, Miyano S, Sogayar MC, Ferreira CE. Modeling gene expression regulatory networks with the sparse vector autoregressive model [Internet]. BMC Systems Biology. 2007 ; 1( 39): 1-11.[citado 2024 nov. 03 ] Available from: https://doi.org/10.1186/1752-0509-1-39
Vancouver
Fujita A, Sato JR, Garay-Malpartida HM, Yamaguchi R, Miyano S, Sogayar MC, Ferreira CE. Modeling gene expression regulatory networks with the sparse vector autoregressive model [Internet]. BMC Systems Biology. 2007 ; 1( 39): 1-11.[citado 2024 nov. 03 ] Available from: https://doi.org/10.1186/1752-0509-1-39
Artigo de periodico
Predicting the connectivity of primate cortical networks from topological and spatial node properties (2007)
Costa, Luciano da Fontoura ; Kaiser, Marcus; Hilgetag, Claus C
Source: BMC Systems Biology. Unidade: IFSC
Subjects: TOPOLOGIA, REDES COMPLEXAS (ANÁLISE), PRIMATAS, COMPORTAMENTO ANIMAL, REDES NEURAIS, CÓRTEX CEREBRAL DE ANIMAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
COSTA, Luciano da Fontoura e KAISER, Marcus e HILGETAG, Claus C. Predicting the connectivity of primate cortical networks from topological and spatial node properties. BMC Systems Biology, 2007Tradução . . Disponível em: https://doi.org/10.1186/1752-0509-1-16. Acesso em: 03 nov. 2024.
APA
Costa, L. da F., Kaiser, M., & Hilgetag, C. C. (2007). Predicting the connectivity of primate cortical networks from topological and spatial node properties. BMC Systems Biology. doi:10.1186/1752-0509-1-16
NLM
Costa L da F, Kaiser M, Hilgetag CC. Predicting the connectivity of primate cortical networks from topological and spatial node properties [Internet]. BMC Systems Biology. 2007 ;[citado 2024 nov. 03 ] Available from: https://doi.org/10.1186/1752-0509-1-16
Vancouver
Costa L da F, Kaiser M, Hilgetag CC. Predicting the connectivity of primate cortical networks from topological and spatial node properties [Internet]. BMC Systems Biology. 2007 ;[citado 2024 nov. 03 ] Available from: https://doi.org/10.1186/1752-0509-1-16

USP Schools

ReP

Filtros

USP Schools

Departament

Authors

USP affiliated authors

Subjects

Funding Agencies

Indexado em

Non normalized affiliation