Sample file

sample : this file contains two text files.

input.surv.txt consists of time of event_1, event_2 and these events can be randomly censored. Each event of samples has censoring time following exponential distribution. If censoring time is bigger than time of event, it is not censored. In contrast, if censoring time is smaller than time of event, it is censored.

A bivariate data set of 500 samples was randomly generated according to

• X1 = min(T1,C1), E1 = I(T1 < C1), where T1 ~ Exp(1), C1 ~ Exp(1/2).

• X2 = min(T2,C2), E2 = I(T2 < C2), where T2 ~ T1+Exp(1), C2 ~ Exp(1/2).

500 samples of X1, E1, X2, E2 are combined into input.surv.txt.

input.expr.txt is gene expression matrix. Gene 1~100 are correlated with T1, gene 101~200 are correlated with T2, gene 201~300 are correlated with T2-T1. And gene 301~1000 are correlated with nothing.

A gene expression data of 1000 genes was randomly generated according to

• (g0001~g0100) ~ T1+Norm(0,4)

• (g0101~g0200) ~ T2+Norm(0,4)

• (g0201~g0300) ~ T2-T1+Norm(0,4)

• (g0301~g1000) ~ Norm(0,4)

1000 genes of 500 samples are combined into input.expr.txt.