@EpistasisLab

Epistasis Lab at UPenn

Prof. Jason H. Moore's research lab at the University of Pennsylvania

  • python-wrapped version of ellen, a linear genetic programming system for symbolic regression and classification.

    C++ 7 1 Updated Feb 21, 2017
  • Identifying the complex genetic architectures of disease

    3 Updated Feb 20, 2017
  • A scikit-learn-compatible Python implementation of ReBATE, a suite of Relief-based feature selection algorithms for Machine Learning.

    Python 12 1 Updated Jan 30, 2017
  • ENSEMBL VEP on EC2

    Updated Jan 30, 2017
  • A sklearn-compatible Python implementation of Multifactor Dimensionality Reduction (MDR) for feature construction.

    Python 22 4 Updated Jan 26, 2017
  • Pages for workshops run by Epistasis Lab members

    4 Updated Jan 25, 2017
  • tpot

    Forked from rhiever/tpot

    A Python tool that automatically creates and optimizes machine learning pipelines using genetic programming.

    Python 3 267 Updated Jan 18, 2017
  • Open or Easy Access Clinical Data Sources for Biomedical Research

    22 8 Updated Jan 5, 2017
  • A large, curated repository of benchmarks for evaluating supervised machine learning algorithms.

    Python 49 16 Updated Jan 5, 2017
  • Relief Based Algorithms in Python

    Python 8 Updated Jan 5, 2017
  • tpot applications on kaggle datasets

    Jupyter Notebook Updated Oct 12, 2016
  • Scripts that I wrote for use on the Penn LPC

    Python 3 1 Updated Aug 5, 2016