A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
Advances in bioinformatics and computational biology. . Berlin: Springer. Disponível em: https://doi.org/10.1007/978-3-642-15060-9. Acesso em: 15 jul. 2024. , 2010
APA
Advances in bioinformatics and computational biology. (2010). Advances in bioinformatics and computational biology. Berlin: Springer. doi:10.1007/978-3-642-15060-9
NLM
Advances in bioinformatics and computational biology [Internet]. 2010 ;[citado 2024 jul. 15 ] Available from: https://doi.org/10.1007/978-3-642-15060-9
Vancouver
Advances in bioinformatics and computational biology [Internet]. 2010 ;[citado 2024 jul. 15 ] Available from: https://doi.org/10.1007/978-3-642-15060-9
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
YOSHIOKA, Hiroki et al. Soil Line Influences on Two-Band Vegetation Indices and Vegetation Isolines: A Numerical Study. Remote Sensing, v. 2, p. 545-561, 2010Tradução . . Disponível em: https://doi.org/10.3390/rs2020545. Acesso em: 15 jul. 2024.
APA
Yoshioka, H., Miura, T., Dematte, J. A. M., Batchily, K., & Huete, A. R. (2010). Soil Line Influences on Two-Band Vegetation Indices and Vegetation Isolines: A Numerical Study. Remote Sensing, 2, 545-561. doi:10.3390/rs2020545
NLM
Yoshioka H, Miura T, Dematte JAM, Batchily K, Huete AR. Soil Line Influences on Two-Band Vegetation Indices and Vegetation Isolines: A Numerical Study [Internet]. Remote Sensing. 2010 ; 2 545-561.[citado 2024 jul. 15 ] Available from: https://doi.org/10.3390/rs2020545
Vancouver
Yoshioka H, Miura T, Dematte JAM, Batchily K, Huete AR. Soil Line Influences on Two-Band Vegetation Indices and Vegetation Isolines: A Numerical Study [Internet]. Remote Sensing. 2010 ; 2 545-561.[citado 2024 jul. 15 ] Available from: https://doi.org/10.3390/rs2020545
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SATO, João Ricardo et al. Analyzing the connectivity between regions of interest: an approach based on cluster Granger causality for fMRI data analysis. NeuroImage, v. 52, n. 4, p. 1444-1455, 2010Tradução . . Disponível em: https://doi.org/10.1016/j.neuroimage.2010.06.018. Acesso em: 15 jul. 2024.
APA
Sato, J. R., Fujita, A., Cardoso, E. F., Thomaz, C. E., Brammer, M. J., & Amaro Jr., E. (2010). Analyzing the connectivity between regions of interest: an approach based on cluster Granger causality for fMRI data analysis. NeuroImage, 52( 4), 1444-1455. doi:10.1016/j.neuroimage.2010.06.018
NLM
Sato JR, Fujita A, Cardoso EF, Thomaz CE, Brammer MJ, Amaro Jr. E. Analyzing the connectivity between regions of interest: an approach based on cluster Granger causality for fMRI data analysis [Internet]. NeuroImage. 2010 ; 52( 4): 1444-1455.[citado 2024 jul. 15 ] Available from: https://doi.org/10.1016/j.neuroimage.2010.06.018
Vancouver
Sato JR, Fujita A, Cardoso EF, Thomaz CE, Brammer MJ, Amaro Jr. E. Analyzing the connectivity between regions of interest: an approach based on cluster Granger causality for fMRI data analysis [Internet]. NeuroImage. 2010 ; 52( 4): 1444-1455.[citado 2024 jul. 15 ] Available from: https://doi.org/10.1016/j.neuroimage.2010.06.018