NOISY_FUN: Noisy gene detection
In bayNorm: Single-cell RNA sequencing data normalization

Description Usage Arguments Details Value Examples

This function detects noisy genes using trends observed in a set of synthetic controls. Input bayNorm normalized data of real data (bay_array_N) and synthetic control (bay_array_C) respectively.

1	NOISY_FUN(bay_array_N, bay_array_C, plot.out = FALSE)

`bay_array_N`	A 2D matrix or 3D array of normalized data(real cells).
`bay_array_C`	A 2D matrix or 3D array of normalized data(synthetic control).
`plot.out`	If TRUE, show CV^2 vs Mean expression plot. Default is FALSE.

bay_array_N and bay_array_C should be of the same dimension.

A vector of adjusted P-values.

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bay_array_N<-array(rpois(1000*50*2,17),dim=c(1000,50,2))
bay_array_C<-array(rpois(1000*50*2,58),dim=c(1000,50,2))
noisy_output<-NOISY_FUN(bay_array_N,bay_array_C)