COmic: Convolutional Kernel Networks for Interpretable End-to-End Learning on (Multi-)Omics Data

Jonas C. Ditz, Bernhard Reuter, Nico Pfeifer

Motivation: The size of available omics datasets is steadily increasing with technological advancement in recent years. While this increase in sample size can be used to improve th…