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

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 exists...

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Detalles Bibliográficos
Autores principales: Che, Dandan, Guo, Shun, Jiang, Qingshan, Chen, Lifei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Methodology Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7362553/
https://www.ncbi.nlm.nih.gov/pubmed/32664870
http://dx.doi.org/10.1186/s12859-020-03639-7

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7362553/
https://www.ncbi.nlm.nih.gov/pubmed/32664870
http://dx.doi.org/10.1186/s12859-020-03639-7

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