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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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Shranjeno v:
Bibliografske podrobnosti
izdano v:Comput Math Methods Med
Main Authors: Fan, Yue, Wang, Xiao, Peng, Qinke
Format: Artigo
Jezik:Inglês
Izdano: Hindawi Publishing Corporation 2017
Teme:
Online dostop:https://ncbi.nlm.nih.gov/pmc/articles/PMC5241943/
https://ncbi.nlm.nih.gov/pubmed/28133490
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1155/2017/8307530
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