GitHub - salvatoreloguercio/Genome-wide-Imputation-Autoencoders: Accurate and Cost-effective Imputation of Genotypes at Whole Genome Level with Sparse Denoising Autoencoders

This repository has been archived by the owner on Mar 28, 2023. It is now read-only.

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

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Name		Name	Last commit message	Last commit date
Latest commit History 2 Commits
TF1_archived		TF1_archived
VMV_utils		VMV_utils
autoencoder_train_test_best_only_cad_190822		autoencoder_train_test_best_only_cad_190822
autoencoder_tuning_pipeline		autoencoder_tuning_pipeline
optuna_phased_pipeline		optuna_phased_pipeline
README.md		README.md
Summit.md		Summit.md

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(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

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

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