It carries out univariate cox proportional hazard models for the expression levels of each gene included in the provided dataset (case_disease_component) and their link with relapse-free or overall survival.
cox_all_genes(case_disease_component, survival_time, survival_event)A matrix with the results of the application of proportional
hazard models using the expression levels of each gene as covariate.
The coef column corresponds to the regression coefficient; the
exp_coef column corresponds to the value of e^coef (which is
interpreted as the odds ratio); the se_coef column corresponds
to the standard error of each coefficient; the Z column corresponds
to the value of coef/se_coef (the higher the Z value, the higher the
significance of the variable) and the Pr_z column corresponds to
the p-value for each Z value.
Disease component matrix (output of the function
generate_disease_component) having selected only the columns
belonging to disease samples. The names of the rows must be the names of the genes.
Numeric vector that includes time to the event information
Numeric vector that indicates if relapse or death have been produced (0 and 1s).