Additional file 2 of Mut2Vec: distributed representation of cancerous mutations

It contains the most enriched clusters with IntOGen driver mutations obtained by six clustering methods(K-Means, Agglomerative hierarchical clustering, BIRCH, Spectral clustering, Affinity Propagation, and Gaussian Mixture) and five options of the number of clusters(50, 100, 200, 300 and 500); except Affinity Propagation. (PDF 108 kb

Additional file 1 of Mut2Vec: distributed representation of cancerous mutations

It contains the visualization results with mutation vectors trained with an autoencoder and a denoising autoencoder. (PDF 427 kb