Asimi, V.: Roles of endogenous retroviruses in transcriptional condensates. Dissertation (2023)

Hetzel, S.: Investigation of DNA methylation heterogeneity in cancer. Dissertation (2023)

Rosebrock, D.: Dissecting regional heterogeneity and modeling transcriptional cascades in brain organoids. Dissertation, vii, 129 S. (2023)

Hertzberg, J.: Identification and Prioritization of Putative Pathogenic Structural Variants based on Functional Annotation. Dissertation (2023)

Bressin, A. S.: A Multi-Omics Analysis of Transcription Control by BRD4. Dissertation, ix, 205 S. (2023)

Cifuentes Fontanals, L.: Methods for control strategy identification in Boolean networks. Dissertation, 101 S. (2023)

Aragonés Hernández, A.: Identification of Protogenin as a novel surface marker for early cortical neural stem cells. Dissertation (2022)

Ly, L.-H.: Deciphering cellular heterogeneity by single-cell transcriptome analysis. Dissertation, xiii, 131 S. (2022)

Kleinert, P.: Computational interpretation of disease-causing, structural, and non-coding human genetic variants. Dissertation, 118 S. (2022)

Gajos, M.: Analysis of the determinants of Pol II pausing. Dissertation, vi, 125 S. (2022)

Abdullaev, E.: Dynamical Aspects of the Evolution of Segmental Duplications in the Human Genome. Dissertation, xiii, 129 S. (2022)

Gralinska, E.: Association Plots visualize cluster-specific genes from high-dimensional transcriptomics data. Dissertation, vi, 108 S. (2022)

Mireles Chavez, V.: Finding Reusable Modules Using Sparse Matrix Decompositions. Dissertation, vi, 103 S. (2022)

Bose, S.: The effect of a gain-of-function mutation in the Cl-/H+ exchanger ClC-7 in lysosomal and mitochondrial morphology and function. Dissertation (2022)

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

Bothe, A. M.: Investigating the Genomic Effects of Glucocorticoid Receptor Activation: An Analysis of Transcriptional Memory and Mechanisms That Direct Divergent Genomic Occupancy of Related Transcription Factors. Dissertation, xxi, 93 S. (2021)

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

Rodrigues de Melo Costa, V.: Genome-wide Determination Of Splicing Efficiency And Dynamics From RNA-Seq Data. Dissertation, ix, 100 S. (2021)

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

Barel, G.: Network Propagation with Node Core for Genotype-Phenotype Associations and Module Identification. Dissertation, xii, 161 S. (2021)