RSNET: inferring gene regulatory networks by a redundancy silencing and network enhancement technique

BACKGROUND: Current gene regulatory network (GRN) inference methods are notorious for a great number of indirect interactions hidden in the predictions. Filtering out the indirect interactions from direct ones remains an important challenge in the reconstruction of GRNs. To address this issue, we de...

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Detalles Bibliográficos
Autores principales: Jiang, Xiaohan, Zhang, Xiujun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Software
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9074326/
https://www.ncbi.nlm.nih.gov/pubmed/35524190
http://dx.doi.org/10.1186/s12859-022-04696-w

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9074326/
https://www.ncbi.nlm.nih.gov/pubmed/35524190
http://dx.doi.org/10.1186/s12859-022-04696-w

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