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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...
Autores principales: | Chen, Guangyi, Liu, Zhi-Ping |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Materias: | |
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 |
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