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.

Package details

AuthorSean Hackett [aut, cre] (<>), Calico Life Sciences LLC [cph, fnd]
MaintainerSean Hackett <>
LicenseMIT + file LICENSE
Package repositoryView on CRAN
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romic documentation built on Sept. 21, 2023, 9:06 a.m.