'romic' 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.

Author

Maintainer: Sean Hackett sean@calicolabs.com (ORCID)

Other contributors:

  • Calico Life Sciences LLC [copyright holder, funder]