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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Ngā kaituhi matua:	Dandan Che, Shun Guo, Qingshan Jiang, Lifei Chen
Hōputu:	Artigo
Reo:	Inglês
I whakaputaina:	BMC 2020-07-01
Rangatū:	BMC Bioinformatics
Ngā marau:	Gene regulatory network inference Time-series expression data Boosting Prior information fusion
Urunga tuihono:	http://link.springer.com/article/10.1186/s12859-020-03639-7
Ngā Tūtohu:	Tāpirihia he Tūtohu Kāore He Tūtohu, Me noho koe te mea tuatahi ki te tūtohu i tēnei pūkete!

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

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