Network inference methods are computational tools which use large omics datasets to predict which genes are regulated by which transcription factors. Since regulatory interactions are context-dependent, attempting to model regulatory dynamics in the form of a single regulatory network may have little relevance. This package allows to predict regulatory networks for individual samples, which can then be clustered together.
Package details |
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Maintainer | |
License | MIT + file LICENSE |
Version | 0.0.1 |
Package repository | View on GitHub |
Installation |
Install the latest version of this package by entering the following in R:
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