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...

Volledige beschrijving

Bewaard in:

Bibliografische gegevens
Hoofdauteurs:	Dandan Che, Shun Guo, Qingshan Jiang, Lifei Chen
Formaat:	Artigo
Taal:	Inglês
Gepubliceerd in:	BMC 2020-07-01
Reeks:	BMC Bioinformatics
Onderwerpen:	Gene regulatory network inference Time-series expression data Boosting Prior information fusion
Online toegang:	http://link.springer.com/article/10.1186/s12859-020-03639-7
Tags:	Voeg label toe Geen labels, Wees de eerste die dit record labelt!

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

Gelijkaardige items