AEBP1 and glioblastoma: 4 of ImpCoxSisLasso algorithm, we not only can explore the gene signature of GBM for P> > N type of data (Table 2), but also Fig. 4 turns out that ImpCoxSisLasso algorithm is much better than the previous [2]. Moreover, Fig. 3 shows that both ImpCoxSisLasso algorithm and our previous survival algorithms (CoxLasso, CoxSis and CoxSisLasso [2]) mutually find AEBP1 as the key gene related to the survival time of GBM patients. Lastly, we use TCGA data [24] (Figs. 1a) and 5 to cross validate the impact of AEBP1 gene on GBM.