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SILGGM: An extensive R package for efficient statistical inference in large-scale gene networks
Gene co-expression network analysis is extremely useful in interpreting a complex biological process. The recent droplet-based single-cell technology is able to generate much larger gene expression data routinely with thousands of samples and tens of thousands of genes. To analyze such a large-scale...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2018
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6107288/ https://www.ncbi.nlm.nih.gov/pubmed/30102702 http://dx.doi.org/10.1371/journal.pcbi.1006369 |