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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.
| Version: |
1.1.3 |
| Depends: |
R (≥ 3.2.3) |
| Imports: |
checkmate, cli, dplyr, ggplot2, glue, purrr, readr, reshape2, rlang, shiny (≥ 1.5.0), stringr, tibble, tidyr (≥ 1.0.0) |
| Suggests: |
knitr, impute, lazyeval, plotly, rmarkdown, usethis, testthat (≥ 3.0.0) |
| Published: |
2023-09-21 |
| Author: |
Sean Hackett 
[aut, cre],
Calico Life Sciences LLC [cph, fnd] |
| Maintainer: |
Sean Hackett <sean at calicolabs.com> |
| License: |
MIT + file LICENSE |
| NeedsCompilation: |
no |
| Materials: |
README NEWS |
| CRAN checks: |
romic results |
Documentation:
Downloads:
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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