NOISY_FUN: Noisy gene detection

In WT215/bayNorm: Single-cell RNA sequencing data normalization

Noisy gene detection

Description

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.

Usage

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

Arguments

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.

Details

bay_array_N and bay_array_C should be of the same dimension.

Value

A vector of adjusted P-values.

Examples

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)

WT215/bayNorm documentation built on Sept. 2, 2022, 1:46 a.m.