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D3GRN: a data driven dynamic network construction method to infer gene regulatory networks

BACKGROUND: To infer gene regulatory networks (GRNs) from gene-expression data is still a fundamental and challenging problem in systems biology. Several existing algorithms formulate GRNs inference as a regression problem and obtain the network with an ensemble strategy. Recent studies on data driv...

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Detalles Bibliográficos
Autores principales:	Chen, Xiang, Li, Min, Zheng, Ruiqing, Wu, Fang-Xiang, Wang, Jianxin
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	BioMed Central 2019
Materias:	Research
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6933629/ https://www.ncbi.nlm.nih.gov/pubmed/31881937 http://dx.doi.org/10.1186/s12864-019-6298-5

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