RWRNET: A Gene Regulatory Network Inference Algorithm Using Random Walk With Restart

Inferring gene regulatory networks from expression data is essential in identifying complex regulatory relationships among genes and revealing the mechanism of certain diseases. Various computation methods have been developed for inferring gene regulatory networks. However, these methods focus on th...

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Detalles Bibliográficos
Autores principales: Liu, Wei, Sun, Xingen, Peng, Li, Zhou, Lili, Lin, Hui, Jiang, Yi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
Materias:
Genetics
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7545090/
https://www.ncbi.nlm.nih.gov/pubmed/33101398
http://dx.doi.org/10.3389/fgene.2020.591461

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7545090/
https://www.ncbi.nlm.nih.gov/pubmed/33101398
http://dx.doi.org/10.3389/fgene.2020.591461

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