Skip to content

Latest commit

 

History

History
14 lines (12 loc) · 471 Bytes

README.md

File metadata and controls

14 lines (12 loc) · 471 Bytes

MoE-Sim-VAE

Mixture-of-Experts Variational Autoencoder for Clustering and Generating from Similarity-Based Representations on Single Cell Data

Install conda environment

conda env create -f spec-file.yml
conda activate moesimvae

Run MoE-Sim-VAE on scRNA-sequencing data clustering mouse organs

cd src
python run_cluster_mouse_organs.py --dir_output PATH/TO/OUTPUT_DIRECTORY --loss_coef_kl_div_code_standard_gaussian 0.2 --loss_coef_clustering 0.8