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- A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
- PAGER is an efficient genotype encoding strategy designed to improve the detection of non-additive genetic variation in complex trait association studies and epistasis investigation. PAGER dynamically encodes genetic variants or multi-locus genotypes (MLG) by normalizing mean phenotypic differences between genotype/MLG classes.
- Aliro: AI-Driven Data Science
tpot
PublicA Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.AlzKB-updates
PublicKRAGEN
PublicSTAR_outliers
Publictpot2_imputetest
Publictpot2-feedstock
PublicGPT4_and_Review
Publicautoqtl
Publicepistasis_detection
PublicEBIC.jl
Publicaliroed-pi-gen
PublicPSB2024_spine
Publictpot2_gptp_experiments
Publicscikit-mdr
Publictpot2-test
Publicexploration-trie-tpot
Publicscikit-rebate
PublicA scikit-learn-compatible Python implementation of ReBATE, a suite of Relief-based feature selection algorithms for Machine Learning.aliro-imager
PublicDTox
Public