Inferring causal gene regulatory network via GreyNet: From dynamic grey association to causation

Gene regulatory network (GRN) provides abundant information on gene interactions, which contributes to demonstrating pathology, predicting clinical outcomes, and identifying drug targets. Existing high-throughput experiments provide rich time-series gene expression data to reconstruct the GRN to fur...

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Detalles Bibliográficos
Autores principales: Chen, Guangyi, Liu, Zhi-Ping
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Bioengineering and Biotechnology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9551017/
https://www.ncbi.nlm.nih.gov/pubmed/36237217
http://dx.doi.org/10.3389/fbioe.2022.954610

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9551017/
https://www.ncbi.nlm.nih.gov/pubmed/36237217
http://dx.doi.org/10.3389/fbioe.2022.954610

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