Open czwdcm opened 9 months ago
Hi. I have fixed the random seed of torch in train_STAligner.py, but it dosen't work, which may be limited by the underlying mechanism of PyG (PyTorch Geometric). If new solution available, I will update STAligner timely.
Hello,
This is a wonderful way to analyze spatial transcriptomics!
Following the tutorial you provided, I tried to integrate DLPFC slices via SLAlinger. I found that the results fluctuate a lot each time, for example, I get slices 151674 with ARI around 0.61 to 0.67. I noticed that the random seed has been set to 666 when using mclust clustering, is there any other way to keep the results stable? Would you be able to share with me? Thank you very much!