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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