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Trabalho de evento-resumo
CeTICSdb: an integrated platform for analysis of heterogeneous, high-throughput-omics and mathematical modeling of biochemical reactions (2014)
Nishiyama Junior, Milton Yutaka; Reis, Marcelo da Silva ; Silva, Daniel F; Kitano, Eduardo Shigueo; Souza, Gláucia Mendes ; Junqueira-de-Azevedo, Inácio de Loiola Meirelles; Cunha, Julia Pinheiro Chagas da; Barrera, Júnior; Iwai, Leo Kei; Serrano, Solange Maria de Toledo; Armelin, Hugo Aguirre
Source: Abstracts. Conference titles: Annual International Conference on Intelligent Systems for Molecular Biology - ISMB 2014 Satellite Meeting - HiTSeq SIG: High Throughput Sequencing Algorithms & Applications. Unidades: IQ, IME
Subjects: BIOINFORMÁTICA, COMPUTAÇÃO APLICADA, MODELOS MATEMÁTICOS
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ABNT
NISHIYAMA JUNIOR, Milton Yutaka et al. CeTICSdb: an integrated platform for analysis of heterogeneous, high-throughput-omics and mathematical modeling of biochemical reactions. 2014, Anais.. Bethesda: Instituto de Química, Universidade de São Paulo, 2014. Disponível em: https://f1000research.com/posters/1096242. Acesso em: 02 jun. 2024.
APA
Nishiyama Junior, M. Y., Reis, M. da S., Silva, D. F., Kitano, E. S., Souza, G. M., Junqueira-de-Azevedo, I. de L. M., et al. (2014). CeTICSdb: an integrated platform for analysis of heterogeneous, high-throughput-omics and mathematical modeling of biochemical reactions. In Abstracts. Bethesda: Instituto de Química, Universidade de São Paulo. Recuperado de https://f1000research.com/posters/1096242
NLM
Nishiyama Junior MY, Reis M da S, Silva DF, Kitano ES, Souza GM, Junqueira-de-Azevedo I de LM, Cunha JPC da, Barrera J, Iwai LK, Serrano SM de T, Armelin HA. CeTICSdb: an integrated platform for analysis of heterogeneous, high-throughput-omics and mathematical modeling of biochemical reactions [Internet]. Abstracts. 2014 ;[citado 2024 jun. 02 ] Available from: https://f1000research.com/posters/1096242
Vancouver
Nishiyama Junior MY, Reis M da S, Silva DF, Kitano ES, Souza GM, Junqueira-de-Azevedo I de LM, Cunha JPC da, Barrera J, Iwai LK, Serrano SM de T, Armelin HA. CeTICSdb: an integrated platform for analysis of heterogeneous, high-throughput-omics and mathematical modeling of biochemical reactions [Internet]. Abstracts. 2014 ;[citado 2024 jun. 02 ] Available from: https://f1000research.com/posters/1096242
Trabalho de evento-resumo
Mathematical modeling of the Ras/MAPK and PI3K/AKT signaling networks in the K-Ras-driven mouse Y1 adrenocortical tumor cells (2014)
Reis, Marcelo da Silva ; Dias, M. H. S; Nakano, Fabio; Barrera, Júnior; Armelin, Hugo Aguirre
Source: Program and Index. Conference titles: Annual Meeting of the Brazilian Biochemistry and Molecular Biology Society (SBBq). Unidades: EACH, IME, IQ
Subjects: FIBROBLASTOS, CÉLULAS CULTIVADAS DE TUMOR
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ABNT
REIS, Marcelo da Silva et al. Mathematical modeling of the Ras/MAPK and PI3K/AKT signaling networks in the K-Ras-driven mouse Y1 adrenocortical tumor cells. 2014, Anais.. São Paulo: Sociedade Brasileira de Bioquímica e Biologia Molecular (SBBq), 2014. Disponível em: http://www.sigeventos.com.br/sbbq/cd/2014/resumos/R08802-1.pdf. Acesso em: 02 jun. 2024.
APA
Reis, M. da S., Dias, M. H. S., Nakano, F., Barrera, J., & Armelin, H. A. (2014). Mathematical modeling of the Ras/MAPK and PI3K/AKT signaling networks in the K-Ras-driven mouse Y1 adrenocortical tumor cells. In Program and Index. São Paulo: Sociedade Brasileira de Bioquímica e Biologia Molecular (SBBq). Recuperado de http://www.sigeventos.com.br/sbbq/cd/2014/resumos/R08802-1.pdf
NLM
Reis M da S, Dias MHS, Nakano F, Barrera J, Armelin HA. Mathematical modeling of the Ras/MAPK and PI3K/AKT signaling networks in the K-Ras-driven mouse Y1 adrenocortical tumor cells [Internet]. Program and Index. 2014 ;[citado 2024 jun. 02 ] Available from: http://www.sigeventos.com.br/sbbq/cd/2014/resumos/R08802-1.pdf
Vancouver
Reis M da S, Dias MHS, Nakano F, Barrera J, Armelin HA. Mathematical modeling of the Ras/MAPK and PI3K/AKT signaling networks in the K-Ras-driven mouse Y1 adrenocortical tumor cells [Internet]. Program and Index. 2014 ;[citado 2024 jun. 02 ] Available from: http://www.sigeventos.com.br/sbbq/cd/2014/resumos/R08802-1.pdf
Trabalho de evento-resumo
Identification of MicroRNAs regulated by oncogenic KRAS in pancreatic cancer (2014)
Salviatto, Armando Padilha; Moura, A; Aoki, M. M; Carreira, Ana Claudia Oliveira; Fujita, André ; Sogayar, Mari Cleide ; Bassères, Daniela Sanchez
Source: Program and Index. Conference titles: Annual Meeting of the Brazilian Biochemistry and Molecular Biology Society (SBBq). Unidades: IME, IQ
Subjects: NEOPLASIAS PANCREÁTICAS, ONCOGENES
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ABNT
SALVIATTO, Armando Padilha et al. Identification of MicroRNAs regulated by oncogenic KRAS in pancreatic cancer. 2014, Anais.. São Paulo: Sociedade Brasileira de Bioquímica e Biologia Molecular (SBBq), 2014. Disponível em: http://www.sigeventos.com.br/sbbq/cd/2014/resumos/R08438-1.pdf. Acesso em: 02 jun. 2024.
APA
Salviatto, A. P., Moura, A., Aoki, M. M., Carreira, A. C. O., Fujita, A., Sogayar, M. C., & Bassères, D. S. (2014). Identification of MicroRNAs regulated by oncogenic KRAS in pancreatic cancer. In Program and Index. São Paulo: Sociedade Brasileira de Bioquímica e Biologia Molecular (SBBq). Recuperado de http://www.sigeventos.com.br/sbbq/cd/2014/resumos/R08438-1.pdf
NLM
Salviatto AP, Moura A, Aoki MM, Carreira ACO, Fujita A, Sogayar MC, Bassères DS. Identification of MicroRNAs regulated by oncogenic KRAS in pancreatic cancer [Internet]. Program and Index. 2014 ;[citado 2024 jun. 02 ] Available from: http://www.sigeventos.com.br/sbbq/cd/2014/resumos/R08438-1.pdf
Vancouver
Salviatto AP, Moura A, Aoki MM, Carreira ACO, Fujita A, Sogayar MC, Bassères DS. Identification of MicroRNAs regulated by oncogenic KRAS in pancreatic cancer [Internet]. Program and Index. 2014 ;[citado 2024 jun. 02 ] Available from: http://www.sigeventos.com.br/sbbq/cd/2014/resumos/R08438-1.pdf
Trabalho de evento-resumo
Modeling the kinetics of Ras/MAPK and PI3K/AKT signaling pathways in the K-Ras-driven mouse Y1 adrenocortical tumor cells: novel insights into the mechanisms of FGF2-driven cell cycle arrest (2014)
Reis, Marcelo da Silva ; Dias, Matheus H. S; Nakano, Fábio ; Nöel, Vincent; Barrera, Júnior; Armelin, Hugo Aguirre
Source: Program and Index. Conference titles: Annual Meeting of the Brazilian Biochemistry and Molecular Biology Society (SBBq). Unidades: EACH, IME, IQ
Assunto: COMPUTAÇÃO APLICADA
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ABNT
REIS, Marcelo da Silva et al. Modeling the kinetics of Ras/MAPK and PI3K/AKT signaling pathways in the K-Ras-driven mouse Y1 adrenocortical tumor cells: novel insights into the mechanisms of FGF2-driven cell cycle arrest. 2014, Anais.. São Paulo: Sociedade Brasileira de Bioquímica e Biologia Molecular (SBBq), 2014. Disponível em: https://f1000research.com/posters/1095752. Acesso em: 02 jun. 2024.
APA
Reis, M. da S., Dias, M. H. S., Nakano, F., Nöel, V., Barrera, J., & Armelin, H. A. (2014). Modeling the kinetics of Ras/MAPK and PI3K/AKT signaling pathways in the K-Ras-driven mouse Y1 adrenocortical tumor cells: novel insights into the mechanisms of FGF2-driven cell cycle arrest. In Program and Index. São Paulo: Sociedade Brasileira de Bioquímica e Biologia Molecular (SBBq). Recuperado de https://f1000research.com/posters/1095752
NLM
Reis M da S, Dias MHS, Nakano F, Nöel V, Barrera J, Armelin HA. Modeling the kinetics of Ras/MAPK and PI3K/AKT signaling pathways in the K-Ras-driven mouse Y1 adrenocortical tumor cells: novel insights into the mechanisms of FGF2-driven cell cycle arrest [Internet]. Program and Index. 2014 ;[citado 2024 jun. 02 ] Available from: https://f1000research.com/posters/1095752
Vancouver
Reis M da S, Dias MHS, Nakano F, Nöel V, Barrera J, Armelin HA. Modeling the kinetics of Ras/MAPK and PI3K/AKT signaling pathways in the K-Ras-driven mouse Y1 adrenocortical tumor cells: novel insights into the mechanisms of FGF2-driven cell cycle arrest [Internet]. Program and Index. 2014 ;[citado 2024 jun. 02 ] Available from: https://f1000research.com/posters/1095752
Artigo de periodico
A quantitative and humane tail bleeding assay for efficacy evaluation of antihaemophilic factors in haemophilia A mice (2014)
Molina, Erika de Simone ; Fujita, André ; Sogayar, Mari Cleide ; Demasi, Marcos Angelo Almeida
Source: Haemophilia. Unidades: IME, IQ, BIOTECNOLOGIA
Subjects: BIOINFORMÁTICA, HEMOFILIA
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ABNT
MOLINA, Erika de Simone et al. A quantitative and humane tail bleeding assay for efficacy evaluation of antihaemophilic factors in haemophilia A mice. Haemophilia, v. 20, p. e392-e398, 2014Tradução . . Disponível em: https://doi.org/10.1111/hae.12484. Acesso em: 02 jun. 2024.
APA
Molina, E. de S., Fujita, A., Sogayar, M. C., & Demasi, M. A. A. (2014). A quantitative and humane tail bleeding assay for efficacy evaluation of antihaemophilic factors in haemophilia A mice. Haemophilia, 20, e392-e398. doi:10.1111/hae.12484
NLM
Molina E de S, Fujita A, Sogayar MC, Demasi MAA. A quantitative and humane tail bleeding assay for efficacy evaluation of antihaemophilic factors in haemophilia A mice [Internet]. Haemophilia. 2014 ; 20 e392-e398.[citado 2024 jun. 02 ] Available from: https://doi.org/10.1111/hae.12484
Vancouver
Molina E de S, Fujita A, Sogayar MC, Demasi MAA. A quantitative and humane tail bleeding assay for efficacy evaluation of antihaemophilic factors in haemophilia A mice [Internet]. Haemophilia. 2014 ; 20 e392-e398.[citado 2024 jun. 02 ] Available from: https://doi.org/10.1111/hae.12484
Patente
Compostos poliméricos eletricamente condutores para sensores de gases que identificam espécies de madeiras (2013)
Takahashi, Erica Sayuri; Camilo, Fernanda Ferraz; Ceccantini, Gregorio ; Rehder, Gustavo Pamplona ; Gruber, Jonas ; Cordeiro, Juliana Ribeiro; Ventura, Leonardo; Correño, Marcelo Nelson Páez; César Júnior, Roberto Marcondes ; Li, Rosamaria Wu Chia
Unidades: IB, EP, IQ, IME
Subjects: POLÍMEROS (QUÍMICA ORGÂNICA), SENSORES QUÍMICOS, MADEIRA
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ABNT
TAKAHASHI, Erica Sayuri et al. Compostos poliméricos eletricamente condutores para sensores de gases que identificam espécies de madeiras. . Rio de Janeiro: Republica Federativa do Brasil - Ministério do Desenvolvimento, Indústria e do Comércio Exterior - Instituto Nacional da Propriedade Industrial. . Acesso em: 02 jun. 2024. , 2013
APA
Takahashi, E. S., Camilo, F. F., Ceccantini, G., Rehder, G. P., Gruber, J., Cordeiro, J. R., et al. (2013). Compostos poliméricos eletricamente condutores para sensores de gases que identificam espécies de madeiras. Rio de Janeiro: Republica Federativa do Brasil - Ministério do Desenvolvimento, Indústria e do Comércio Exterior - Instituto Nacional da Propriedade Industrial.
NLM
Takahashi ES, Camilo FF, Ceccantini G, Rehder GP, Gruber J, Cordeiro JR, Ventura L, Correño MNP, César Júnior RM, Li RWC. Compostos poliméricos eletricamente condutores para sensores de gases que identificam espécies de madeiras. 2013 ;[citado 2024 jun. 02 ]
Vancouver
Takahashi ES, Camilo FF, Ceccantini G, Rehder GP, Gruber J, Cordeiro JR, Ventura L, Correño MNP, César Júnior RM, Li RWC. Compostos poliméricos eletricamente condutores para sensores de gases que identificam espécies de madeiras. 2013 ;[citado 2024 jun. 02 ]
Artigo de periodico
New insights in osteogenic differentiation revealed by mass spectrometric assessment of phosphorylated substrates in murine skin mesenchymal cells (2013)
Halcsik, Erik; Forni, Maria Fernanda ; Fujita, André ; Verano-Braga, Thiago ; Jensen, Ole Norregaard ; Sogayar, Mari Cleide
Source: BMC Cell Biology. Unidades: IME, IQ
Assunto: BIOLOGIA CELULAR
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ABNT
HALCSIK, Erik et al. New insights in osteogenic differentiation revealed by mass spectrometric assessment of phosphorylated substrates in murine skin mesenchymal cells. BMC Cell Biology, v. 14, p. 1-19, 2013Tradução . . Disponível em: https://doi.org/10.1186/1471-2121-14-47. Acesso em: 02 jun. 2024.
APA
Halcsik, E., Forni, M. F., Fujita, A., Verano-Braga, T., Jensen, O. N., & Sogayar, M. C. (2013). New insights in osteogenic differentiation revealed by mass spectrometric assessment of phosphorylated substrates in murine skin mesenchymal cells. BMC Cell Biology, 14, 1-19. doi:10.1186/1471-2121-14-47
NLM
Halcsik E, Forni MF, Fujita A, Verano-Braga T, Jensen ON, Sogayar MC. New insights in osteogenic differentiation revealed by mass spectrometric assessment of phosphorylated substrates in murine skin mesenchymal cells [Internet]. BMC Cell Biology. 2013 ; 14 1-19.[citado 2024 jun. 02 ] Available from: https://doi.org/10.1186/1471-2121-14-47
Vancouver
Halcsik E, Forni MF, Fujita A, Verano-Braga T, Jensen ON, Sogayar MC. New insights in osteogenic differentiation revealed by mass spectrometric assessment of phosphorylated substrates in murine skin mesenchymal cells [Internet]. BMC Cell Biology. 2013 ; 14 1-19.[citado 2024 jun. 02 ] Available from: https://doi.org/10.1186/1471-2121-14-47
Artigo de periodico
Non-coding transcription characterization and annotation (2012)
Paschoal, Alexandre Rossi; Maracajá-Coutinho, Vinicius Ramos Henriques; Setubal, João Carlos ; Simões, Zila Luz Paulino; Verjovski-Almeida, Sergio ; Durham, Alan Mitchell
Source: RNA Biology. Unidades: IQ, FFCLRP, IME
Subjects: BIOINFORMÁTICA, RNA
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ABNT
PASCHOAL, Alexandre Rossi et al. Non-coding transcription characterization and annotation. RNA Biology, v. 9, n. 3, p. 274-282 : + Supplementary materials ( S1-S92), 2012Tradução . . Disponível em: https://doi.org/10.4161/rna.19352. Acesso em: 02 jun. 2024.
APA
Paschoal, A. R., Maracajá-Coutinho, V. R. H., Setubal, J. C., Simões, Z. L. P., Verjovski-Almeida, S., & Durham, A. M. (2012). Non-coding transcription characterization and annotation. RNA Biology, 9( 3), 274-282 : + Supplementary materials ( S1-S92). doi:10.4161/rna.19352
NLM
Paschoal AR, Maracajá-Coutinho VRH, Setubal JC, Simões ZLP, Verjovski-Almeida S, Durham AM. Non-coding transcription characterization and annotation [Internet]. RNA Biology. 2012 ; 9( 3): 274-282 : + Supplementary materials ( S1-S92).[citado 2024 jun. 02 ] Available from: https://doi.org/10.4161/rna.19352
Vancouver
Paschoal AR, Maracajá-Coutinho VRH, Setubal JC, Simões ZLP, Verjovski-Almeida S, Durham AM. Non-coding transcription characterization and annotation [Internet]. RNA Biology. 2012 ; 9( 3): 274-282 : + Supplementary materials ( S1-S92).[citado 2024 jun. 02 ] Available from: https://doi.org/10.4161/rna.19352
Artigo de periodico
The sugarcane genome challenge: strategies for sequencing a highly complex genome (2011)
Souza, Gláucia Mendes ; Berges, Helene; Bocs, Stephanie; Casu, Rosanne; D'Hont, Angelique; Ferreira, João Eduardo ; Henry, Robert; Ming, Ray; Potier, Bernard; Van Sluys, Marie-Anne ; Vincentz, Michel; Paterson, Andrew H
Source: Tropical Plant Biology. Unidades: IQ, IME, IB
Subjects: ALIMENTOS TRANSGÊNICOS, CANA-DE-AÇÚCAR, GENOMAS
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ABNT
SOUZA, Gláucia Mendes et al. The sugarcane genome challenge: strategies for sequencing a highly complex genome. Tropical Plant Biology, 2011Tradução . . Disponível em: https://doi.org/10.1007/s12042-011-9079-0. Acesso em: 02 jun. 2024.
APA
Souza, G. M., Berges, H., Bocs, S., Casu, R., D'Hont, A., Ferreira, J. E., et al. (2011). The sugarcane genome challenge: strategies for sequencing a highly complex genome. Tropical Plant Biology. doi:10.1007/s12042-011-9079-0
NLM
Souza GM, Berges H, Bocs S, Casu R, D'Hont A, Ferreira JE, Henry R, Ming R, Potier B, Van Sluys M-A, Vincentz M, Paterson AH. The sugarcane genome challenge: strategies for sequencing a highly complex genome [Internet]. Tropical Plant Biology. 2011 ;[citado 2024 jun. 02 ] Available from: https://doi.org/10.1007/s12042-011-9079-0
Vancouver
Souza GM, Berges H, Bocs S, Casu R, D'Hont A, Ferreira JE, Henry R, Ming R, Potier B, Van Sluys M-A, Vincentz M, Paterson AH. The sugarcane genome challenge: strategies for sequencing a highly complex genome [Internet]. Tropical Plant Biology. 2011 ;[citado 2024 jun. 02 ] Available from: https://doi.org/10.1007/s12042-011-9079-0
Artigo de periodico
Inferring contagion in regulatory networks (2011)
Fujita, André ; Sato, João Ricardo ; Demasi, Marcos Angelo Almeida ; Yamaguchi, Rui ; Shimamura, Teppei ; Ferreira, Carlos Eduardo ; Sogayar, Mari Cleide ; Miyano, Satoru
Source: IEEE/ACM Transactions on Computational Biology and Bioinformatics. Unidades: IME, IQ
Subjects: REGULAÇÃO GÊNICA, BIOQUÍMICA
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ABNT
FUJITA, André et al. Inferring contagion in regulatory networks. IEEE/ACM Transactions on Computational Biology and Bioinformatics, v. 8, n. 2, p. 570-576, 2011Tradução . . Disponível em: https://doi.org/10.1109/tcbb.2010.40. Acesso em: 02 jun. 2024.
APA
Fujita, A., Sato, J. R., Demasi, M. A. A., Yamaguchi, R., Shimamura, T., Ferreira, C. E., et al. (2011). Inferring contagion in regulatory networks. IEEE/ACM Transactions on Computational Biology and Bioinformatics, 8( 2), 570-576. doi:10.1109/tcbb.2010.40
NLM
Fujita A, Sato JR, Demasi MAA, Yamaguchi R, Shimamura T, Ferreira CE, Sogayar MC, Miyano S. Inferring contagion in regulatory networks [Internet]. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 2011 ; 8( 2): 570-576.[citado 2024 jun. 02 ] Available from: https://doi.org/10.1109/tcbb.2010.40
Vancouver
Fujita A, Sato JR, Demasi MAA, Yamaguchi R, Shimamura T, Ferreira CE, Sogayar MC, Miyano S. Inferring contagion in regulatory networks [Internet]. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 2011 ; 8( 2): 570-576.[citado 2024 jun. 02 ] Available from: https://doi.org/10.1109/tcbb.2010.40
Artigo de periodico
Unveiling novel genes upregulated by both rhBMP2 and rhBMP7 during early osteoblastic transdifferentiation of C2C12 cells (2011)
Bustus-Valenzuela, Juan C.; Fujita, André ; Halcsik, Erik; Granjeiro, José Mauro ; Sogayar, Mari Cleide
Source: BMC Research Notes. Unidades: IME, IQ
Assunto: BIOQUÍMICA
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ABNT
BUSTUS-VALENZUELA, Juan C. et al. Unveiling novel genes upregulated by both rhBMP2 and rhBMP7 during early osteoblastic transdifferentiation of C2C12 cells. BMC Research Notes, v. 4, p. 1-15, 2011Tradução . . Disponível em: https://doi.org/10.1186/1756-0500-4-370. Acesso em: 02 jun. 2024.
APA
Bustus-Valenzuela, J. C., Fujita, A., Halcsik, E., Granjeiro, J. M., & Sogayar, M. C. (2011). Unveiling novel genes upregulated by both rhBMP2 and rhBMP7 during early osteoblastic transdifferentiation of C2C12 cells. BMC Research Notes, 4, 1-15. doi:10.1186/1756-0500-4-370
NLM
Bustus-Valenzuela JC, Fujita A, Halcsik E, Granjeiro JM, Sogayar MC. Unveiling novel genes upregulated by both rhBMP2 and rhBMP7 during early osteoblastic transdifferentiation of C2C12 cells [Internet]. BMC Research Notes. 2011 ; 4 1-15.[citado 2024 jun. 02 ] Available from: https://doi.org/10.1186/1756-0500-4-370
Vancouver
Bustus-Valenzuela JC, Fujita A, Halcsik E, Granjeiro JM, Sogayar MC. Unveiling novel genes upregulated by both rhBMP2 and rhBMP7 during early osteoblastic transdifferentiation of C2C12 cells [Internet]. BMC Research Notes. 2011 ; 4 1-15.[citado 2024 jun. 02 ] Available from: https://doi.org/10.1186/1756-0500-4-370
Parte de monografia/livro
An introduction to time‐varying connectivity estimation for gene regulatory networks (2010)
Fujita, André ; Sato, João Ricardo ; Demasi, Marcos Angelo Almeida ; Miyano, Satoru ; Sogayar, Mari Cleide ; Ferreira, Carlos Eduardo
Source: Medical biostatistics for complex diseases. Unidades: IME, IQ
Subjects: EXPRESSÃO GÊNICA, REGULAÇÃO GÊNICA, INFERÊNCIA BAYESIANA
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ABNT
FUJITA, André et al. An introduction to time‐varying connectivity estimation for gene regulatory networks. Medical biostatistics for complex diseases. Tradução . Weinheim: Wiley-Blackwell, 2010. . Disponível em: https://doi.org/10.1002/9783527630332.ch11. Acesso em: 02 jun. 2024.
APA
Fujita, A., Sato, J. R., Demasi, M. A. A., Miyano, S., Sogayar, M. C., & Ferreira, C. E. (2010). An introduction to time‐varying connectivity estimation for gene regulatory networks. In Medical biostatistics for complex diseases. Weinheim: Wiley-Blackwell. doi:10.1002/9783527630332.ch11
NLM
Fujita A, Sato JR, Demasi MAA, Miyano S, Sogayar MC, Ferreira CE. An introduction to time‐varying connectivity estimation for gene regulatory networks [Internet]. In: Medical biostatistics for complex diseases. Weinheim: Wiley-Blackwell; 2010. [citado 2024 jun. 02 ] Available from: https://doi.org/10.1002/9783527630332.ch11
Vancouver
Fujita A, Sato JR, Demasi MAA, Miyano S, Sogayar MC, Ferreira CE. An introduction to time‐varying connectivity estimation for gene regulatory networks [Internet]. In: Medical biostatistics for complex diseases. Weinheim: Wiley-Blackwell; 2010. [citado 2024 jun. 02 ] Available from: https://doi.org/10.1002/9783527630332.ch11
Artigo de periodico
Comparing Pearson, Spearman and Hoeffding's D measure for gene expression association analysis (2009)
Fujita, André ; Sato, João Ricardo; Demasi, Marcos Angelo Almeida; Sogayar, Mari Cleide ; Ferreira, Carlos Eduardo ; Miyano, Satoru
Source: Journal of Bioinformatics and Computational Biology. Unidades: IQ, IME
Subjects: EXPRESSÃO GÊNICA, BIOQUÍMICA
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ABNT
FUJITA, André et al. Comparing Pearson, Spearman and Hoeffding's D measure for gene expression association analysis. Journal of Bioinformatics and Computational Biology, v. 7, n. 4, p. 663-684, 2009Tradução . . Disponível em: https://doi.org/10.1142/S0219720009004230. Acesso em: 02 jun. 2024.
APA
Fujita, A., Sato, J. R., Demasi, M. A. A., Sogayar, M. C., Ferreira, C. E., & Miyano, S. (2009). Comparing Pearson, Spearman and Hoeffding's D measure for gene expression association analysis. Journal of Bioinformatics and Computational Biology, 7( 4), 663-684. doi:10.1142/S0219720009004230
NLM
Fujita A, Sato JR, Demasi MAA, Sogayar MC, Ferreira CE, Miyano S. Comparing Pearson, Spearman and Hoeffding's D measure for gene expression association analysis [Internet]. Journal of Bioinformatics and Computational Biology. 2009 ; 7( 4): 663-684.[citado 2024 jun. 02 ] Available from: https://doi.org/10.1142/S0219720009004230
Vancouver
Fujita A, Sato JR, Demasi MAA, Sogayar MC, Ferreira CE, Miyano S. Comparing Pearson, Spearman and Hoeffding's D measure for gene expression association analysis [Internet]. Journal of Bioinformatics and Computational Biology. 2009 ; 7( 4): 663-684.[citado 2024 jun. 02 ] Available from: https://doi.org/10.1142/S0219720009004230
Artigo de periodico
Modeling nonlinear gene regulatory networks from time series gene expression data (2008)
Fujita, André ; Sato, João Ricardo; Garay-Malpartida, Humberto Miguel; Sogayar, Mari Cleide ; Ferreira, Carlos Eduardo ; Miyano, Satoru
Source: Journal of Bioinformatics and Computational Biology. Unidades: EACH, IQ, IME
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 nonlinear gene regulatory networks from time series gene expression data. Journal of Bioinformatics and Computational Biology, v. 6, n. 5, p. 961-979, 2008Tradução . . Disponível em: https://doi.org/10.1142/s0219720008003746. Acesso em: 02 jun. 2024.
APA
Fujita, A., Sato, J. R., Garay-Malpartida, H. M., Sogayar, M. C., Ferreira, C. E., & Miyano, S. (2008). Modeling nonlinear gene regulatory networks from time series gene expression data. Journal of Bioinformatics and Computational Biology, 6( 5), 961-979. doi:10.1142/s0219720008003746
NLM
Fujita A, Sato JR, Garay-Malpartida HM, Sogayar MC, Ferreira CE, Miyano S. Modeling nonlinear gene regulatory networks from time series gene expression data [Internet]. Journal of Bioinformatics and Computational Biology. 2008 ; 6( 5): 961-979.[citado 2024 jun. 02 ] Available from: https://doi.org/10.1142/s0219720008003746
Vancouver
Fujita A, Sato JR, Garay-Malpartida HM, Sogayar MC, Ferreira CE, Miyano S. Modeling nonlinear gene regulatory networks from time series gene expression data [Internet]. Journal of Bioinformatics and Computational Biology. 2008 ; 6( 5): 961-979.[citado 2024 jun. 02 ] Available from: https://doi.org/10.1142/s0219720008003746
Artigo de periodico
Identification of COL6A1 as a differentially expressed gene in human astrocytomas (2008)
Fujita, André ; Sato, João Ricardo; Festa, Fernanda; Gomes, Luciana Rodrigues; Oba-Shinjo, Sueli Mieko; Marie, Suely Kazue Nagahashi; Ferreira, Carlos Eduardo ; Sogayar, Mari Cleide
Source: Genetics and Molecular Research. Unidades: FM, IME, IQ
Subjects: EXPRESSÃO GÊNICA, GENÉTICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
FUJITA, André et al. Identification of COL6A1 as a differentially expressed gene in human astrocytomas. Genetics and Molecular Research, v. 7, n. 2, p. 371-378, 2008Tradução . . Disponível em: https://doi.org/10.4238/vol7-2gmr432. Acesso em: 02 jun. 2024.
APA
Fujita, A., Sato, J. R., Festa, F., Gomes, L. R., Oba-Shinjo, S. M., Marie, S. K. N., et al. (2008). Identification of COL6A1 as a differentially expressed gene in human astrocytomas. Genetics and Molecular Research, 7( 2), 371-378. doi:10.4238/vol7-2gmr432
NLM
Fujita A, Sato JR, Festa F, Gomes LR, Oba-Shinjo SM, Marie SKN, Ferreira CE, Sogayar MC. Identification of COL6A1 as a differentially expressed gene in human astrocytomas [Internet]. Genetics and Molecular Research. 2008 ;7( 2): 371-378.[citado 2024 jun. 02 ] Available from: https://doi.org/10.4238/vol7-2gmr432
Vancouver
Fujita A, Sato JR, Festa F, Gomes LR, Oba-Shinjo SM, Marie SKN, Ferreira CE, Sogayar MC. Identification of COL6A1 as a differentially expressed gene in human astrocytomas [Internet]. Genetics and Molecular Research. 2008 ;7( 2): 371-378.[citado 2024 jun. 02 ] Available from: https://doi.org/10.4238/vol7-2gmr432
Artigo de periodico-carta/editorial
X-meeting - International conference of the Brazilian Association for Bioinformatics and computational Biology, São Paulo, 2007 (2008)
César Júnior, Roberto Marcondes ; Reis, Eduardo Moraes ; Azevedo, Vasco
Source: Genetics and Molecular Research. Unidades: IME, IQ
Assunto: BIOINFORMÁTICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
CÉSAR JÚNIOR, Roberto Marcondes e REIS, Eduardo Moraes e AZEVEDO, Vasco. X-meeting - International conference of the Brazilian Association for Bioinformatics and computational Biology, São Paulo, 2007. Genetics and Molecular Research. Ribeirão Preto: Instituto de Matemática e Estatística, Universidade de São Paulo. Disponível em: https://www.geneticsmr.org/articles/xmeeting--international-conference-of-the-brazilian-association-for-bioinformatics-and-computational-biology.pdf. Acesso em: 02 jun. 2024. , 2008
APA
César Júnior, R. M., Reis, E. M., & Azevedo, V. (2008). X-meeting - International conference of the Brazilian Association for Bioinformatics and computational Biology, São Paulo, 2007. Genetics and Molecular Research. Ribeirão Preto: Instituto de Matemática e Estatística, Universidade de São Paulo. Recuperado de https://www.geneticsmr.org/articles/xmeeting--international-conference-of-the-brazilian-association-for-bioinformatics-and-computational-biology.pdf
NLM
César Júnior RM, Reis EM, Azevedo V. X-meeting - International conference of the Brazilian Association for Bioinformatics and computational Biology, São Paulo, 2007 [Internet]. Genetics and Molecular Research. 2008 ; 7( 3):[citado 2024 jun. 02 ] Available from: https://www.geneticsmr.org/articles/xmeeting--international-conference-of-the-brazilian-association-for-bioinformatics-and-computational-biology.pdf
Vancouver
César Júnior RM, Reis EM, Azevedo V. X-meeting - International conference of the Brazilian Association for Bioinformatics and computational Biology, São Paulo, 2007 [Internet]. Genetics and Molecular Research. 2008 ; 7( 3):[citado 2024 jun. 02 ] Available from: https://www.geneticsmr.org/articles/xmeeting--international-conference-of-the-brazilian-association-for-bioinformatics-and-computational-biology.pdf
Artigo de periodico
GEDI: a user-friendly toolbox for analysis of large-scale gene expression data (2007)
Fujita, André ; Sato, João Ricardo; Ferreira, Carlos Eduardo ; Sogayar, Mari Cleide
Source: BMC Bioinformatics. Unidades: IME, IQ, 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. GEDI: a user-friendly toolbox for analysis of large-scale gene expression data. BMC Bioinformatics, v. 8, n. art. 457, p. 1-7, 2007Tradução . . Disponível em: https://doi.org/10.1186/1471-2105-8-457. Acesso em: 02 jun. 2024.
APA
Fujita, A., Sato, J. R., Ferreira, C. E., & Sogayar, M. C. (2007). GEDI: a user-friendly toolbox for analysis of large-scale gene expression data. BMC Bioinformatics, 8( art. 457), 1-7. doi:10.1186/1471-2105-8-457
NLM
Fujita A, Sato JR, Ferreira CE, Sogayar MC. GEDI: a user-friendly toolbox for analysis of large-scale gene expression data [Internet]. BMC Bioinformatics. 2007 ; 8( art. 457): 1-7.[citado 2024 jun. 02 ] Available from: https://doi.org/10.1186/1471-2105-8-457
Vancouver
Fujita A, Sato JR, Ferreira CE, Sogayar MC. GEDI: a user-friendly toolbox for analysis of large-scale gene expression data [Internet]. BMC Bioinformatics. 2007 ; 8( art. 457): 1-7.[citado 2024 jun. 02 ] Available from: https://doi.org/10.1186/1471-2105-8-457
Trabalho de evento-resumo
Gene regulation network identification from time-series microarray data (2007)
Trepode, Nestor Walter; Dougherty, Edward Russell; Barrera, Júnior; Armelin, Hugo Aguirre ; Hashimoto, Ronaldo Fumio
Source: Meeting 2007. Conference titles: International Conference of the Brazilian Association for Bioinformatics and Computational Biology. Unidades: IME, IQ
Subjects: REGULAÇÃO GÊNICA, BIOQUÍMICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
TREPODE, Nestor Walter et al. Gene regulation network identification from time-series microarray data. 2007, Anais.. São Paulo: Associação Brasileira de Bioinformática e Biologia Computacional, 2007. . Acesso em: 02 jun. 2024.
APA
Trepode, N. W., Dougherty, E. R., Barrera, J., Armelin, H. A., & Hashimoto, R. F. (2007). Gene regulation network identification from time-series microarray data. In Meeting 2007. São Paulo: Associação Brasileira de Bioinformática e Biologia Computacional.
NLM
Trepode NW, Dougherty ER, Barrera J, Armelin HA, Hashimoto RF. Gene regulation network identification from time-series microarray data. Meeting 2007. 2007 ;[citado 2024 jun. 02 ]
Vancouver
Trepode NW, Dougherty ER, Barrera J, Armelin HA, Hashimoto RF. Gene regulation network identification from time-series microarray data. Meeting 2007. 2007 ;[citado 2024 jun. 02 ]
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: 02 jun. 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 jun. 02 ] 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 jun. 02 ] Available from: https://doi.org/10.1186/1752-0509-1-39
Artigo de periodico
Time-varying modeling of gene expression regulatory networks using the wavelet dynamic vector autoregressive method (2007)
Fujita, André ; Sato, João Ricardo ; Garay-Malpartida, Humberto Miguel ; Morettin, Pedro Alberto ; Sogayar, Mari Cleide ; Ferreira, Carlos Eduardo
Source: Bioinformatics. Unidades: IME, IQ, 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. Time-varying modeling of gene expression regulatory networks using the wavelet dynamic vector autoregressive method. Bioinformatics, v. 23, n. 13, p. 1623-1630, 2007Tradução . . Disponível em: https://doi.org/10.1093/bioinformatics/btm151. Acesso em: 02 jun. 2024.
APA
Fujita, A., Sato, J. R., Garay-Malpartida, H. M., Morettin, P. A., Sogayar, M. C., & Ferreira, C. E. (2007). Time-varying modeling of gene expression regulatory networks using the wavelet dynamic vector autoregressive method. Bioinformatics, 23( 13), 1623-1630. doi:10.1093/bioinformatics/btm151
NLM
Fujita A, Sato JR, Garay-Malpartida HM, Morettin PA, Sogayar MC, Ferreira CE. Time-varying modeling of gene expression regulatory networks using the wavelet dynamic vector autoregressive method [Internet]. Bioinformatics. 2007 ; 23( 13): 1623-1630.[citado 2024 jun. 02 ] Available from: https://doi.org/10.1093/bioinformatics/btm151
Vancouver
Fujita A, Sato JR, Garay-Malpartida HM, Morettin PA, Sogayar MC, Ferreira CE. Time-varying modeling of gene expression regulatory networks using the wavelet dynamic vector autoregressive method [Internet]. Bioinformatics. 2007 ; 23( 13): 1623-1630.[citado 2024 jun. 02 ] Available from: https://doi.org/10.1093/bioinformatics/btm151

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