Identifying prognostic subgroups of luminal-A breast cancer using deep autoencoders and gene expressions
Fig 2
The t-SNE (t-distributed Stochastic Neighbor Embedding) plot of 64-dimensional latent features and the Kaplan-Meier survival curve of 679 METABRIC luminal-A breast cancer samples.
(A) The t-SNE plot (dimension size = 2) of latent features generated from the deep autoencoders of 679 METABRIC luminal-A breast cancer samples. The samples assigned to the BPS-LumA (the better prognostic subgroup) and WPS-LumA (the worse prognostic subgroup) colored as green and orange, respectively. (B) The green and orange curve indicates the BPS-LumA and the WPS-LumA, respectively. The x-axis refers recurrence-free survival months and the y-axis refers survival probability.