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Learning complex dependency structure of gene regulatory networks from high dimensional microarray data with Gaussian Bayesian networks
Reconstruction of Gene Regulatory Networks (GRNs) of gene expression data with Probabilistic Network Models (PNMs) is an open problem. Gene expression datasets consist of thousand of genes with relatively small sample sizes (i.e. are large-p-small-n). Moreover, dependencies of various orders coexist...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Nature Publishing Group UK
2022
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9636198/ https://www.ncbi.nlm.nih.gov/pubmed/36333425 http://dx.doi.org/10.1038/s41598-022-21957-z |