norm_FDR_SQAUC: norm_FDR_SQAUC The function controls the false discovery rate...

In SiFINeT: Single Cell Feature Identification with Network Topology

norm_FDR_SQAUC The function controls the false discovery rate (FDR) of coexpression patterns using SQAUC method Jichun Xie and Ruosha Li. "False discovery rate control for high dimensional networks of quantile associations conditioning on covariates". In: J R Stat Soc Series B Stat Methodol (2018). doi: 10.1111/rssb.12288.

Description

norm_FDR_SQAUC The function controls the false discovery rate (FDR) of coexpression patterns using SQAUC method Jichun Xie and Ruosha Li. "False discovery rate control for high dimensional networks of quantile associations conditioning on covariates". In: J R Stat Soc Series B Stat Methodol (2018). doi: 10.1111/rssb.12288.

Usage

norm_FDR_SQAUC(value, sam_mean, sam_sd, alpha, n, p)

Arguments

value	the vector of coexpression patterns
sam_mean	the estimated sample mean
sam_sd	the estimated sample sd
alpha	the type I error rate
n	the number of cells
p	the number of genes

Value

lower bound threshold for genes to be significantly coexpressed

SiFINeT documentation built on April 3, 2025, 9:30 p.m.