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    • Timeseries analysis of -omics data can be carried out by fitting spline curves to the data and using limma for hypothesis testing. For this, the right spline freedom and further hyperparameters must be identified, and the obtained hits clustered based on the spline shape.The R package SplineOmics streamlines this whole process and generates reports
      HTML
      MIT License
      0100Updated Oct 3, 2024Oct 3, 2024
    • Stores the HTML reports that are the output of the functions of the SplineOmics package, so that they can be linked in the documentation of the actual SplineOmics package, without placing those big files there.
      HTML
      0000Updated Sep 26, 2024Sep 26, 2024
    • Student resources for UE Bioinformatische Übungen I
      CSS
      0000Updated Sep 11, 2024Sep 11, 2024
    • Practical exercises for the course "Hands-on Biomedical Data - Resources and Analysis Tools"
      0000Updated Jan 12, 2024Jan 12, 2024
    • Single-cell transcriptomics and epigenomics unravel the role of monocytes in neuroblastoma bone marrow metastasis
      Jupyter Notebook
      MIT License
      1800Updated Dec 11, 2023Dec 11, 2023
    • Reliable interpretability of biology-inspired deep neural networks
      R
      MIT License
      0200Updated Oct 11, 2023Oct 11, 2023
    • tfcf

      Public
      Systematic functional screening of chromatin factors identifies strong lineage and disease dependencies in normal and malignant haematopoiesis.
      R
      1610Updated Jul 6, 2023Jul 6, 2023
    • HTML
      0000Updated Apr 20, 2023Apr 20, 2023