survival666 (version 0.5)

survival_pie: Visualize the factors that influence survival analysis

Description

The checkout_survival() is the third function of survival666. We use the function to visualize the co-expression interference of a specific gene in survival analysis.

Usage

survival_pie(exp, survivalrank, target, pcol = 4, symbolcol = 1, path)

Arguments

exp

This is a transcriptome count matrix,Note that the matrix requires symbol as column name and sample as row name

survivalrank

This is the result calculated by the frist function in the survival666 package. However,that does not prevent you from getting results that you could get using other methods,as long as three conditions are met. Frist,you need to calculate the p value based on the expression of a particular phenotype and the level of gene expresion Second,your results must be large enough,preferably for the entire transcriptome,otherwise filtering accuracy will be reduced Finally,you need to eliminate genes that are not significant enough,and if you are using a regular PC,it is recommended to have no more than 2000 lines

target

target gene symbols

pcol

Digtal vector,represents the column of P value in survivalrank

symbolcol

Digtal vector,represents the column of symbol in survivalrank

path

Path to output file,do not omit '/',example:'d:/file/'.

See Also

survival_pie super_survival

Examples

# NOT RUN {
survival_pie(exp=survivaldata,
survivalrank=survivalrank[1:300,],
target="EAF2",
pcol=4,
symbolcol=1,
path='/yourdir/')
# }