Pacini, G.: Transcriptome regulation during the X chromosome inactivation process. Dissertation (2023)

Schulte-Sasse, R.: Integration of multi-omics data with graph convolutional networks to identify cancer-associated genes. Dissertation, ix, 190 pp. (2021)

Barros de Andrade e Sousa, L.: Using interpretable machine learning to understand gene silencing dynamics during X-chromosome inactivation. Dissertation, vii, 159 pp. (2021)

Budach, S.: Explainable deep learning models for biological sequence classification. Dissertation, vii, 119 pp. (2021)

Krakau, S.: Statistical models to capture protein-RNA interaction footprints from truncation-based CLIP-seq data. Dissertation, viii, 167 S pp. (2020)