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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Detaylı Bibliyografya
Asıl Yazarlar:	Dandan Che, Shun Guo, Qingshan Jiang, Lifei Chen
Materyal Türü:	Artigo
Dil:	Inglês
Baskı/Yayın Bilgisi:	BMC 2020-07-01
Seri Bilgileri:	BMC Bioinformatics
Konular:	Gene regulatory network inference Time-series expression data Boosting Prior information fusion
Online Erişim:	http://link.springer.com/article/10.1186/s12859-020-03639-7
Etiketler:	Etiketle Etiket eklenmemiş, İlk siz ekleyin!

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

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