ruv_shiny: RUV Shiny App

In ruv: Detect and Remove Unwanted Variation using Negative Controls

Description

A Shiny App that allows quick exploration of a dataset using RUV methods.

Usage

ruv_shiny(Y, rowinfo, colinfo, options = list(port = 3840)) 

Arguments

Y	The data matrix. Rows are observations and columns are features (e.g. genes).
rowinfo	A dataframe of information about the observations. Should have the same number of rows as Y. Should contain at least one column that can be used as either a factor of interest or to define replicates.
colinfo	A dataframe of information about the observations. Should have the same number of rows as Y. Should contain at least one column that is a logical vector that can be used to define negative controls.
options	A list of options to pass to the shinyApp function.

Value

None. Calls shinyApp.

Author(s)

Johann Gagnon-Bartsch

ruv documentation built on Aug. 31, 2019, 1:04 a.m.