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PFBNet: a priori-fused boosting method for gene regulatory network inference

Abstract Background Inferring gene regulatory networks (GRNs) from gene expression data remains a challenge in system biology. In past decade, numerous methods have been developed for the inference of GRNs. It remains a challenge due to the fact that the data is noisy and high dimensional, and there...

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Principais autores: Dandan Che, Shun Guo, Qingshan Jiang, Lifei Chen
פורמט: Artigo
שפה:Inglês
יצא לאור: BMC 2020-07-01
סדרה:BMC Bioinformatics
נושאים:
Gene regulatory network inference
Time-series expression data
Boosting
Prior information fusion
גישה מקוונת:http://link.springer.com/article/10.1186/s12859-020-03639-7
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