EMOGEA incorporates measurement uncertainties in the analysis of differential expression and is specifically suited for transcriptomics studies in which low-count transcripts with small fold-changes lead to significant biological effects.
Package details |
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Maintainer | Tobias K. Karakach <karakach@dal.ca> |
License | MIT + file LICENSE |
Version | 0.1.0 |
URL | https://github.com/itikadi/emogeav1 |
Package repository | View on GitHub |
Installation |
Install the latest version of this package by entering the following in R:
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