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Inference of Gene Regulatory Networks Using Bayesian Nonparametric Regression and Topology Information

Gene regulatory networks (GRNs) play an important role in cellular systems and are important for understanding biological processes. Many algorithms have been developed to infer the GRNs. However, most algorithms only pay attention to the gene expression data but do not consider the topology informa...

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Detalles Bibliográficos
Autores principales: Fan, Yue, Wang, Xiao, Peng, Qinke
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5241943/
https://www.ncbi.nlm.nih.gov/pubmed/28133490
http://dx.doi.org/10.1155/2017/8307530