data_simu_TcGSA | R Documentation |
Simulated data for 5 gene sets of 50 genes each. Gene expression is simulated at 5 time points for 10 patients.
data(data_simu_TcGSA)
In expr_1grp
all patients belong to the same unique treatment group. The first 2 gene sets are simulated under the null hypothesis. The gene sets 3 and 4 are simulated under the alternative hypothesis that there is a significant homogeneous time trend within the gene set. The gene set 5 is simulated under the alternative hypothesis that there are significant heterogeneous time trends within the gene set.
In expr_2grp
all patients belong to 2 treatment groups. The 5 first patients belong to the treatment group 'T
', The 5 other patients belong to the treatment group 'C
'. The first 2 gene sets are simulated under the null hypothesis that there is no difference in the time trend between the 2 treatment groups. The gene sets 3 and 4 are simulated under the alternative hypothesis that there are significantly different homogeneous time trends within the gene set between the 2 treatment groups. The gene set 5 is simulated under the alternative hypothesis that there are significantly different heterogeneous time trends between the 2 treatment groups within the gene set.
expr_1grp |
See Details. |
expr_2grp |
See Details. |
design |
a data frame with 5 variables:
|
gmt_sim |
a gmt object containing the gene sets definition. See |
Boris P. Hejblum
This is simulated data.
TcGSA.LR
data(data_simu_TcGSA) summary(expr_1grp) summary(design) gmt_sim
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