Intern
    Data Science Chair

    ML for Biological & Medical Data

    Open Topics

    06.10.2025 | Biological&Medical Data

    Generating Single Cell RNA-seq Data with Diffusion Models in a Semi-Unsupervised Setting

    Great progress has been made recently in the field of single-cell analysis. However, there are still some major hurdles, such as generating high-quality data. On the other hand, diffusion models are on everyone's lips, which would… Mehr
    06.10.2025 | Biological&Medical Data

    Using Explainable AI to Uncover Gene Relevance in scRNA-seq Data

    Single-cell RNA sequencing (scRNA-seq) provides detailed insights into gene expression at the cellular level. In this thesis, we use explainable AI (XAI) methods to investigate which genes most influence the predictions of a… Mehr
    06.10.2025 | Biological&Medical Data

    Assessing the Suitability of (Zero-Inflated) Negative Binomial Distributions for scRNA-seq Gene Expression Data

    Single-cell RNA sequencing (scRNA-seq) data is highly sparse, with many zero values that pose challenges for statistical modeling. Two suitable distributions to use are the negative binomial (NB) and the zero-inflated negative… Mehr