surv_cox {tinyarray} | R Documentation |
surv_cox
Description
calculate cox p values and HR for genes
Usage
surv_cox(
exprSet_hub,
meta,
cut.point = FALSE,
pvalue_cutoff = 0.05,
HRkeep = "all",
continuous = FALSE,
min_gn = 0.1
)
Arguments
exprSet_hub |
a tumor expression set for hubgenes |
meta |
meta data corresponds to expression set |
cut.point |
logical , use cut_point or not, if FALSE,use median by defult |
pvalue_cutoff |
p value cut off ,0.05 by defult |
HRkeep |
one of "all","protect"or"risk" |
continuous |
logical, gene expression or gene expression group |
min_gn |
Depending on the expression of a gene, there may be a large difference in the number of samples between the two groups, and if a smaller group of samples is less than 10 percent (default) of all, the gene will be discarded |
Value
a matrix with gene names ,cox p value and HR
Author(s)
Xiaojie Sun
See Also
Examples
surv_cox(exprSet_hub1,meta1)
surv_cox(exprSet_hub1,meta1,cut.point = TRUE,continuous = TRUE)
surv_cox(exprSet_hub1,meta1,cut.point = TRUE,continuous = TRUE,pvalue_cutoff = 1)
[Package tinyarray version 2.4.2 Index]