This test is designed to detect if ASE data reveals sufficient imbalance to induce an outlier in total gene expression. The test takes in in two vectors of ASE count data from an R data frame, as well as a vector of population estimates for standard deviations (sample estimates are provided). The output is a data frame containing raw and adjusted pvalues using BenjaminiHoschberg method, and a plot showing outlier data points in red.
Package details 


Author  Pejman Mohammadi, Christina Sousa 
Maintainer  Christina Sousa <sousa.19@osu.edu> 
License  GPL2 
Version  0.1.1 
URL  https://github.com/PejLab/ANEVADOT 
Package repository  View on GitHub 
Installation 
Install the latest version of this package by entering the following in R:

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