Before revision:  To the best of our knowledge, XOmiVAE is one of the first activated-based deep learning interpretation method to explain novel clusters generated by variational autoencoders. The results generated by XOmiVAE were validated by both the biomedical knowledge and the performance of downstream tasks . XOmiVAE explanations of deep learning based cancer classification and clustering aligned with current domain knowledge including biological annotation and  literature, which shows great potential for novel biomedical knowledge discovery from deep learning models .
After revision:  To the best of our knowledge, XOmiVAE is one of the first activated-based deep learning interpretation method to explain novel clusters generated by VAE. The explainable results generated by XOmiVAE were validated by both the biomedical knowledge and the performance of downstream tasks . XOmiVAE explanations of deep learning based cancer classification and clustering aligned with current domain knowledge including biological annotation and literature, which shows great potential for novel biomedical knowledge discovery from deep learning models .