/Genome-wide-Imputation-Autoencoders

Accurate and Cost-effective Imputation of Genotypes at Whole Genome Level with Sparse Denoising Autoencoders

Primary LanguageJupyter Notebook

(archived) TF1 version: https://github.com/salvatoreloguercio/Genome-wide-Imputation-Autoencoders/tree/main/TF1_archived

pytorch parameter tuning (not automated): https://github.com/salvatoreloguercio/Genome-wide-Imputation-Autoencoders/tree/main/autoencoder_tuning_validation_pytorch

automated parameter tuning pipeline: https://github.com/salvatoreloguercio/Genome-wide-Imputation-Autoencoders/tree/main/autoencoder_tuning_validation_pytorch

phased autoencoder, automated hyperparameter tuning pipeline (optuna): https://github.com/salvatoreloguercio/Genome-wide-Imputation-Autoencoders/tree/main/optuna_phased_pipeline