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Filtros : "BIOINFORMÁTICA" "Humana Press" Limpar

Filtros

Parte de monografia/livro
Using bioinformatics tools to study the role of microRNA in cancer (2014)
Passetti, Fabio; Jorge, Natasha Andressa Nogueira; Durham, Alan Mitchell
Fonte: Clinical bioinformatics. Unidade: IME
Assuntos: BIOINFORMÁTICA, SEQUENCIAMENTO GENÉTICO, NEOPLASIAS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
PASSETTI, Fabio e JORGE, Natasha Andressa Nogueira e DURHAM, Alan Mitchell. Using bioinformatics tools to study the role of microRNA in cancer. Clinical bioinformatics. Tradução . New York: Humana Press, 2014. . Disponível em: https://doi.org/10.1007/978-1-4939-0847-9_7. Acesso em: 15 nov. 2025.
APA
Passetti, F., Jorge, N. A. N., & Durham, A. M. (2014). Using bioinformatics tools to study the role of microRNA in cancer. In Clinical bioinformatics. New York: Humana Press. doi:10.1007/978-1-4939-0847-9_7
NLM
Passetti F, Jorge NAN, Durham AM. Using bioinformatics tools to study the role of microRNA in cancer [Internet]. In: Clinical bioinformatics. New York: Humana Press; 2014. [citado 2025 nov. 15 ] Available from: https://doi.org/10.1007/978-1-4939-0847-9_7
Vancouver
Passetti F, Jorge NAN, Durham AM. Using bioinformatics tools to study the role of microRNA in cancer [Internet]. In: Clinical bioinformatics. New York: Humana Press; 2014. [citado 2025 nov. 15 ] Available from: https://doi.org/10.1007/978-1-4939-0847-9_7
Parte de monografia/livro
A tutorial to identify nonlinear associations in gene expression time series data (2014)
Fujita, André ; Miyano, Satoru
Fonte: Transcription factor regulatory networks: methods and protocols. Unidade: IME
Assuntos: BIOINFORMÁTICA, ANÁLISE DE SÉRIES TEMPORAIS, ANÁLISE MULTIVARIADA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
FUJITA, André e MIYANO, Satoru. A tutorial to identify nonlinear associations in gene expression time series data. Transcription factor regulatory networks: methods and protocols. Tradução . New York: Humana Press, 2014. . Disponível em: https://doi.org/10.1007/978-1-4939-0805-9_8. Acesso em: 15 nov. 2025.
APA
Fujita, A., & Miyano, S. (2014). A tutorial to identify nonlinear associations in gene expression time series data. In Transcription factor regulatory networks: methods and protocols. New York: Humana Press. doi:10.1007/978-1-4939-0805-9_8
NLM
Fujita A, Miyano S. A tutorial to identify nonlinear associations in gene expression time series data [Internet]. In: Transcription factor regulatory networks: methods and protocols. New York: Humana Press; 2014. [citado 2025 nov. 15 ] Available from: https://doi.org/10.1007/978-1-4939-0805-9_8
Vancouver
Fujita A, Miyano S. A tutorial to identify nonlinear associations in gene expression time series data [Internet]. In: Transcription factor regulatory networks: methods and protocols. New York: Humana Press; 2014. [citado 2025 nov. 15 ] Available from: https://doi.org/10.1007/978-1-4939-0805-9_8

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