Jens Allmer

G-S-M: A Comprehensive Framework for Integrative Feature Selection in Omics Data Analysis and Beyond

The paper introduces G-S-M, a framework for integrative feature selection that combines machine learning and prior knowledge to identify discriminative feature groups for medical applications.

Detection of pre-microRNA with Convolutional Neural Networks

The paper develops a convolutional neural network for pre-miRNA detection that outperforms existing methods and enables real-time computation.