Wolfgang Kopp wkopp

• Max Delbrück center for molecular medicine

• Berlin

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1. Deep learning infrastructure for genomics

   Jupyter Notebook 257 35

2. An interactive browser for single-cell ATAC-seq data

   Python 5 1

3. R package for identifying motif matches and motif enrichment in DNA sequences

   C 4 2

4. This project was used for participating in the MPower Subchallenge of the Parkinson's disease digital biomarker DREAM challenge

   Python 4 1

5. Batch-adversarial variational auto-encoder (BAVARIA) for simultaneous dimensionality reduction and integration of single-cell ATAC-seq datasets

   Jupyter Notebook 15 6

6. Single-cell regulatory landscape segmentation

   Jupyter Notebook 5 2