Dprofiler computationally profiles a set of targeted samples by connecting them to reference expression datasets with phenotypic profiles of interest. Building on these reference profiles of phenotypic groups, Dprofiler evaluates bulk RNA samples, detect possibly existing anomalies and heterogeneities, and further explores causes and sources of distinct molecular patterns with the aid of single cell maps and other reference gene expression datasets.
Package details |
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Author | Who wrote it |
Maintainer | Artur Manukyan <artur-man@hotmail.com> |
License | MIT + file LICENSE |
Version | 1.0.0 |
Package repository | View on GitHub |
Installation |
Install the latest version of this package by entering the following in R:
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