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The text was updated successfully, but these errors were encountered:
Did you rum the autoencoder first and then CellOT in the latent space? Doing so, will reproduce all results.
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Hello, I trained and evaluated the performance of CellOT on the sciplex3 dataset using the following command (without changing any configuration):
python ./scripts/train.py --outdir ./results/sciplex3/drug-trametinib/model-cellot --config ./configs/tasks/sciplex3.yaml --config ./configs/models/cellot.yaml --config.data.target trametinib
python ./scripts/evaluate.py --outdir ./results/sciplex3/drug-trametinib/model-cellot --setting iid --where data_space
However, I did not receive the results reported in the article. This is the result of my reproduction:
1000,all,l2-means,4.904272556304932
1000,all,l2-stds,4.1161394119262695
1000,all,r2-means,0.6526695314139299
1000,all,r2-stds,0.9440400841747668
1000,all,r2-pairwise_feat_corrs,0.43102186295905737
1000,all,l2-pairwise_feat_corrs
The text was updated successfully, but these errors were encountered: