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SiFINeT (version 1.13)

norm_FDR_SQAUC: 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)

Value

lower bound threshold for genes to be significantly coexpressed

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