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@Christensen-Lab-Dartmouth

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  1. Christensen-Lab-Dartmouth/MethylNet Christensen-Lab-Dartmouth/MethylNet Public

    Modular framework for deep learning predictions on methylation data.

    HTML 51 11

  2. PathFlowAI PathFlowAI Public

    A High-Throughput Workflow for Preprocessing, Deep Learning Analytics and Interpretation in Digital Pathology

    Python 40 8

  3. InteractionTransformer InteractionTransformer Public

    Extract meaningful interactions from machine learning models to obtain machine-learning performance with statistical model interpretability.

    Python 7 2

  4. Christensen-Lab-Dartmouth/PyMethylProcess Christensen-Lab-Dartmouth/PyMethylProcess Public

    Preprocessing methylation pipeline, written in python. Easy to use and highly parallelized.

    Python 35 8

  5. PolyCRACKER-Unofficial-Mirror PolyCRACKER-Unofficial-Mirror Public

    A robust method for the unsupervised partitioning of polyploid subgenomes by signatures of repetitive DNA evolution https://bmcgenomics.biomedcentral.com/articles/10.1186/s12864-019-5828-5

    Python 3 2

  6. GCN4R GCN4R Public

    GCN4R Package

    HTML 6 2