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.
- Version1.1.3
- R versionunknown
- LicenseMIT
- LicenseLICENSE
- Needs compilation?No
- Last release09/21/2023
Documentation
Team
Sean Hackett
Calico Life Sciences LLC
Show author detailsRolesCopyright holder, fnd
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- Imports13 packages
- Suggests5 packages