Inference of gene regulatory network using temporal coefficient of determination obtained from ergodic Markov chains (2009)
- Authors:
- USP affiliated authors: HASHIMOTO, RONALDO FUMIO - IME ; HIRATA JUNIOR, ROBERTO - IME ; HIRATA, NINA SUMIKO TOMITA - IME ; HIGA, CARLOS HENRIQUE AGUENA - IME ; SANTOS, CARLOS DA SILVA DOS - IME
- Unidade: IME
- DOI: 10.1109/GENSIPS.2009.5174368
- Subjects: BIOINFORMÁTICA; PROCESSOS DE MARKOV
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Publisher: IEEE
- Publisher place: Piscataway
- Date published: 2009
- Source:
- Título do periódico: Proceedings
- Conference titles: International Workshop on Genomic Signal Processing and Statistics - GENSIPS
- Este periódico é de assinatura
- Este artigo NÃO é de acesso aberto
- Cor do Acesso Aberto: closed
-
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: 21 maio 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 maio 21 ] 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 maio 21 ] Available from: https://doi.org/10.1109/GENSIPS.2009.5174368 - From mathematical morphology to machine learning of image operators
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Informações sobre o DOI: 10.1109/GENSIPS.2009.5174368 (Fonte: oaDOI API)
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