calico/romic: R for High-Dimensional Omic Data
Represents high-dimensional data as tables of features, samples and measurements, and a design list for tracking the meaning of individual variables. Using this format, filtering, normalization, and other transformations of a dataset can be carried out in a flexible manner. 'romic' takes advantage of these transformations to create interactive 'shiny' apps for exploratory data analysis such as an interactive heatmap.
Getting started
Browse package contents
Package details |
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| Maintainer | Sean Hackett <sean@calicolabs.com> |
| License | MIT + file LICENSE |
| Version | 1.2.4 |
| URL | https://calico.github.io/romic/ https://github.com/calico/romic |
| Package repository | View on GitHub |
| Installation |
Install the latest version of this package by entering the following in R:
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