Fabian Neuhaus

This study evaluates whether sequence-based tools can detect alternative splicing from low-depth RNA-seq data, showing promise for hypothesis generation but limitations in de novo detection.

The paper introduces a deep learning method, StrucTFactor, that uses 3D protein structures to predict transcription factors, outperforming existing methods by 17% in Matthews correlation coefficient.