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  1. Deep learning infrastructure for genomics

    Jupyter Notebook 258 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 16 6

  6. Single-cell regulatory landscape segmentation

    Jupyter Notebook 6 2

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