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...

Cijeli opis

Bibliografski detalji

Glavni autori:	Dandan Che, Shun Guo, Qingshan Jiang, Lifei Chen
Format:	Artigo
Jezik:	Inglês
Izdano:	BMC 2020-07-01
Serija:	BMC Bioinformatics
Teme:	Gene regulatory network inference Time-series expression data Boosting Prior information fusion
Online pristup:	http://link.springer.com/article/10.1186/s12859-020-03639-7
Oznake:	Dodaj oznaku Bez oznaka, Budi prvi tko označuje ovaj zapis!