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

Internet

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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