Reverse enGENEering of regulatory networks from big data: a roadmap for biologists (2015)
- Authors:
- Autor USP: IAMBARTSEV, ANATOLI - IME
- Unidade: IME
- DOI: 10.4137/BBI.S12467
- Subjects: ESTATÍSTICA APLICADA; BIOESTATÍSTICA; PROCESSOS ESTOCÁSTICOS
- Keywords: network reconstruction; network interrogation; systems biology; big data; data integration; inter-omics network; transkingdom network
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Source:
- Título: Bioinformatics and Biology Insights
- ISSN: 1177-9322
- Volume/Número/Paginação/Ano: v. 9, p. 61-74, 2015
- Este periódico é de acesso aberto
- Este artigo NÃO é de acesso aberto
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ABNT
DONG, Xiaoxi et al. Reverse enGENEering of regulatory networks from big data: a roadmap for biologists. Bioinformatics and Biology Insights, v. 9, p. 61-74, 2015Tradução . . Disponível em: https://doi.org/10.4137/BBI.S12467. Acesso em: 21 fev. 2026. -
APA
Dong, X., Iambartsev, A., Ramsey, S. A., Thomas, L. D., Shulzhenko, N., & Morgun, A. (2015). Reverse enGENEering of regulatory networks from big data: a roadmap for biologists. Bioinformatics and Biology Insights, 9, 61-74. doi:10.4137/BBI.S12467 -
NLM
Dong X, Iambartsev A, Ramsey SA, Thomas LD, Shulzhenko N, Morgun A. Reverse enGENEering of regulatory networks from big data: a roadmap for biologists [Internet]. Bioinformatics and Biology Insights. 2015 ; 9 61-74.[citado 2026 fev. 21 ] Available from: https://doi.org/10.4137/BBI.S12467 -
Vancouver
Dong X, Iambartsev A, Ramsey SA, Thomas LD, Shulzhenko N, Morgun A. Reverse enGENEering of regulatory networks from big data: a roadmap for biologists [Internet]. Bioinformatics and Biology Insights. 2015 ; 9 61-74.[citado 2026 fev. 21 ] Available from: https://doi.org/10.4137/BBI.S12467 - Differentially correlated genes in co-expression networks control phenotype transitions
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Informações sobre o DOI: 10.4137/BBI.S12467 (Fonte: oaDOI API)
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