Book Chapter (2)

Book Chapter
Caffrey, B.; Marsico, A.: Computational modeling of microRNA Biogenesis. In: Mathematical Models in Biology, pp. 85 - 98 (Eds. Zazzu, V.; Ferraro, M. B.). Springer International Publishing (2015)

Thesis - PhD (5)

Thesis - PhD
Pacini, G.: Transcriptome regulation during the X chromosome inactivation process. Dissertation (2023)
Thesis - PhD
Schulte-Sasse, R.: Integration of multi-omics data with graph convolutional networks to identify cancer-associated genes. Dissertation, ix, 190 pp. (2021)
Thesis - PhD
Barros de Andrade e Sousa, L.: Using interpretable machine learning to understand gene silencing dynamics during X-chromosome inactivation. Dissertation, vii, 159 pp. (2021)
Thesis - PhD
Budach, S.: Explainable deep learning models for biological sequence classification. Dissertation, vii, 119 pp. (2021)
Thesis - PhD
Krakau, S.: Statistical models to capture protein-RNA interaction footprints from truncation-based CLIP-seq data. Dissertation, viii, 167 S pp. (2020)
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