Table 4 P-value of the log-rank test of lower dimensional representation, generated by Partitioning Around Medoids (PAM) clustering algorithm on the last hidden layers of three Deep Learning-based approaches (testing set only). 12 TCGA (The Cancer Genome Atlas) cancers are being compared. Bolded values indicate the smallest p-value among three Deep Learning approaches, refer to better low dimensional representation
From: Deep learning-based cancer survival prognosis from RNA-seq data: approaches and evaluations
TCGA Cancers | P-values of log-rank test by models | ||
|---|---|---|---|
Cox-nnet | DeepSurv | AECOX | |
KIRP | 7.71E-02 | 2.45E-01 | 1.40E-01 |
KIRC | 2.38E-03 | 9.79E-02 | 3.01E-01 |
LIHC | 3.57E-01 | 6.14E-01 | 3.86E-01 |
BRCA | 4.45E-01 | 4.81E-01 | 4.85E-01 |
CESC | 2.45E-01 | 3.26E-01 | 3.92E-01 |
LUAD | 9.58E-02 | 4.07E-01 | 1.11E-01 |
BLCA | 3.27E-01 | 2.67E-01 | 4.94E-01 |
HNSC | 3.38E-01 | 4.06E-01 | 6.19E-01 |
PAAD | 2.97E-01 | 4.04E-01 | 2.29E-01 |
OV | 2.80E-01 | 3.38E-01 | 4.42E-01 |
STAD | 5.72E-01 | 2.67E-01 | 7.01E-01 |
LUSC | 3.10E-01 | 4.14E-01 | 6.05E-01 |