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 This repository is no longer being updated.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/ebic
EBIC - AI-based parallel biclustering algorithm
EpistasisLab/ml-analyst
Analysis pipeline for quick ML analyses.
EpistasisLab/3DHeatmap
3D Heatmap tool in Unity3D. Inst. for Biomed. Informatics, Univ. of PA
EpistasisLab/interpret_ehr
Interpretation of machine learning predictions for patient outcomes in electronic health records
EpistasisLab/hibachi
Data simulation software that creates data sets with particular characteristics
EpistasisLab/EpistasisLab.github.io
Identifying the complex genetic architectures of disease
EpistasisLab/qsar-gnn
EpistasisLab/rebate-benchmark
A centralized repository to benchmark ReBATE performance across a variety of parameter settings and datasets.
EpistasisLab/regens
Recombines real genomic segments to simulate whole genomes
EpistasisLab/LPC
Documentation and informational resources for LPC use
EpistasisLab/mimic-code
MIMIC Code Repository: Code shared by the research community for the MIMIC-III database
EpistasisLab/mimic3-benchmarks
Python suite to construct benchmark machine learning datasets from the MIMIC-III clinical database.
EpistasisLab/OMNIREP
The OMNIREP algorithm: Coevolving encodings and representations
EpistasisLab/SimpleModelView
A Unity package for a simplified model-view system to help with code<->UI management.
EpistasisLab/Conservation-Machine-Learning
Conservation Machine Learning
EpistasisLab/openmrs-module-fhir
Implements REST and Java APIs to access OpenMRS via FHIR Specification.
EpistasisLab/pennai-arm64-deps
Pre-compiled dependencies for building PennAI Docker images on 64-bit ARM OSs (e.g., raspberry pi)
EpistasisLab/PennAI-Ed
Materials for PennAI-Ed - an initiative to enhance AI and data science education built on PennAI
EpistasisLab/regens-analysis
EpistasisLab/TINY
Tiny Genetic Algorithm (GA) and Tiny Genetic Programming (GP)
EpistasisLab/gecco2019-new-benchmarking-standards
A workshop for improving benchmarking standards in evolutionary computation research.
EpistasisLab/logistic_PCA
An efficient python implementation of logistic PCA for general use
EpistasisLab/malaria-challenge
The Malaria DREAM Challenge
EpistasisLab/mrsman
Medical Record System Management
EpistasisLab/openmrs-module-coreapps
Provides apps for performing the common tasks
EpistasisLab/pennai-bioinformatics
Code to reproduce the experiments in "Evaluating recommender systems for AI-driven biomedical informatics"
EpistasisLab/pennai-ed-gen
Fork of `pi-gen` used to build Raspberry Pi OS images for PennAI-Ed
EpistasisLab/pmlb-manuscript
Manuscript for PMLB v1.0
EpistasisLab/process-ukbb
EpistasisLab/STAR_outliers_analysis