Fig. 7
From: RareNet: a deep learning model for rare cancer diagnosis
Visualization of test samples in the latent space. T-SNE was employed to reduce the latent space dimension from 100 to 2. Samples from Wilms Tumor (WT), Clear Cell Sarcoma of the Kidney (CCSK), Osteosarcoma (OST), Neuroblastoma (NB), Acute Myeloid Leukemia (AML), and Healthy (H) segregate into distinct clusters, differentiated based on their DNA methylation patterns by the model.
