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...

Täydet tiedot

Tallennettuna:

Bibliografiset tiedot
Päätekijät:	Dandan Che, Shun Guo, Qingshan Jiang, Lifei Chen
Aineistotyyppi:	Artigo
Kieli:	Inglês
Julkaistu:	BMC 2020-07-01
Sarja:	BMC Bioinformatics
Aiheet:	Gene regulatory network inference Time-series expression data Boosting Prior information fusion
Linkit:	http://link.springer.com/article/10.1186/s12859-020-03639-7
Tagit:	Lisää tagi Ei tageja, Lisää ensimmäinen tagi!

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

Samankaltaisia teoksia