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.


Reference manual

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1.0.0 by Sean Hackett, 5 months ago

Browse source code at https://github.com/cran/romic

Authors: Sean Hackett [aut, cre] , Calico Life Sciences LLC [cph, fnd]

Documentation:   PDF Manual  

MIT + file LICENSE license

Imports checkmate, dplyr, ggplot2, glue, purrr, readr, reshape2, rlang, shiny, stringr, tibble, tidyr

Suggests knitr, lazyeval, plotly, rmarkdown, usethis, testthat

See at CRAN