Epistasis Lab at Cedars Sinai
Prof. Jason H. Moore's research lab at Cedars Sinai
United States of America
Pinned Repositories
Aliro
Aliro: AI-Driven Data Science
ClinicalDataSources
Open or Easy Access Clinical Data Sources for Biomedical Research
KRAGEN
Software to implement GoT with a weviate vectorized database
MIMIC_trajectories
pmlb
PMLB: A large, curated repository of benchmark datasets for evaluating supervised machine learning algorithms.
ReBATE
Relief Based Algorithms of ReBATE implemented in Python with Cython optimization. This repository is no longer being updated. Please see scikit-rebate.
scikit-mdr
A sklearn-compatible Python implementation of Multifactor Dimensionality Reduction (MDR) for feature construction.
scikit-rebate
A scikit-learn-compatible Python implementation of ReBATE, a suite of Relief-based feature selection algorithms for Machine Learning.
tpot
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
tpot2
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
Epistasis Lab at Cedars Sinai's Repositories
EpistasisLab/tpot
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
EpistasisLab/pmlb
PMLB: A large, curated repository of benchmark datasets for evaluating supervised machine learning algorithms.
EpistasisLab/KRAGEN
Software to implement GoT with a weviate vectorized database
EpistasisLab/scikit-rebate
A scikit-learn-compatible Python implementation of ReBATE, a suite of Relief-based feature selection algorithms for Machine Learning.
EpistasisLab/Aliro
Aliro: AI-Driven Data Science
EpistasisLab/tpot2
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
EpistasisLab/scikit-mdr
A sklearn-compatible Python implementation of Multifactor Dimensionality Reduction (MDR) for feature construction.
EpistasisLab/digen
Diverse and generative ML benchmarks
EpistasisLab/pmlbr
pmlb is an R interface to the Penn Machine Learning Benchmarks data repository
EpistasisLab/autoqtl
Automated Quantitative Trait Locus Analysis (AutoQTL)
EpistasisLab/EBIC.jl
EBIC - a biclustering algorithm in Julia
EpistasisLab/AlzKB
EpistasisLab/SAFE
The SAFE Algorithm: Solution and Fitness Evolution
EpistasisLab/DTox
A knowledge-guided deep learning model for prediction and interpretation of drug toxicity
EpistasisLab/GPT4_and_Review
Using GPT-4 to write a scientific review article: a pilot evaluation study
EpistasisLab/epistasis_detection
Implementation of an efficient algorithm to compute linear regression models for epistasis that permit varied genetic encodings (penetrance functions) of the interactions of loci and provide statistical evidence for epistasis.
EpistasisLab/latent_phenotype_project
EpistasisLab/PAGER
EpistasisLab/tpot2_imputetest
Testing complex imputation methods on a Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
EpistasisLab/TTox
Develop and evaluate a feature selection pipeline for the identification of toxicity targets
EpistasisLab/STAR_outliers
EpistasisLab/aliro-imager
EpistasisLab/aliroed-pi-gen
Tool used to create the AliroEd Raspberry Pi OS images
EpistasisLab/alzkb-site
EpistasisLab/exploration-trie-tpot
Comparison of evolutionary algorithms within TPOT using a trie to determine their exploratory nature
EpistasisLab/PSB2024_spine
EpistasisLab/STAR_outliers_figure_and_table_generation
EpistasisLab/tpot2-feedstock
A conda-smithy repository for tpot2.
EpistasisLab/tpot2-test
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
EpistasisLab/tpot2_gptp_experiments