Epistasis Lab at UPenn
tpot
Forked from rhiever/tpotA Python tool that automatically creates and optimizes machine learning pipelines using genetic programming.
evobic
Forked from athril/evobicEvoBic - AI-based parallel biclustering algorithm
Preprint coming soon
Pages for workshops run by Epistasis Lab members
python-wrapped version of ellen, a linear genetic programming system for symbolic regression and classification.
few
Forked from lacava/fewa feature engineering wrapper for sklearn
A public space to collaborate on entries for the TPOT AutoML competition.
A scikit-learn-compatible Python implementation of ReBATE, a suite of Relief-based feature selection algorithms for Machine Learning.
Identifying the complex genetic architectures of disease
A large, curated repository of benchmarks for evaluating supervised machine learning algorithms.
A sklearn-compatible Python implementation of Multifactor Dimensionality Reduction (MDR) for feature construction.
ENSEMBL VEP on EC2
Relief Based Algorithms in Python
Open or Easy Access Clinical Data Sources for Biomedical Research
tpot applications on kaggle datasets
Scripts that I wrote for use on the Penn LPC