Genetic Network Learning (gnlearn) is an R package for structural learning of huge gene regulatory networks from single-cell datasets, using random gene resampling, cell bootstrapping, and one of the available structural learning algorithms.
Package details |
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Author | Ricardo Lebrón [aut, cre], Gherardo Varando [ctb] |
Maintainer | Ricardo Lebrón <rlebron@go.ugr.es> |
License | GPL-3 |
Version | 0.0.0 |
Package repository | View on GitHub |
Installation |
Install the latest version of this package by entering the following in R:
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