Inference of time-delayed gene regulatory networks based on dynamic Bayesian network hybrid learning method

Gene regulatory networks (GRNs) research reveals complex life phenomena from the perspective of gene interaction, which is an important research field in systems biology. Traditional Bayesian networks have a high computational complexity, and the network structure scoring model has a single feature....

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Detalles Bibliográficos
Autores principales: Yu, Bin, Xu, Jia-Meng, Li, Shan, Chen, Cheng, Chen, Rui-Xin, Wang, Lei, Zhang, Yan, Wang, Ming-Hui
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Impact Journals LLC 2017
Materias:
Research Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5655205/
https://www.ncbi.nlm.nih.gov/pubmed/29113310
http://dx.doi.org/10.18632/oncotarget.21268

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5655205/
https://www.ncbi.nlm.nih.gov/pubmed/29113310
http://dx.doi.org/10.18632/oncotarget.21268

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