norm_FDR_SQAUC {SiFINeT} | R Documentation |
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
[Package SiFINeT version 1.13 Index]