reproduce tutorial.ipynb about scdeepcluster HOT 3 CLOSED

Hi, did you try the pytorch version? Old keras and tensorflow 1 indeed have the problem you mentioned, different version would generate different results. Thanks.

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Hi, did you try the pytorch version? Old keras and tensorflow 1 indeed have the problem you mentioned, different version would generate different results. Thanks.

Thank you for you reply, I have try the pytorch version, it gives the expected result. But I found this example of three group is no sense in my view , because the raw dropout counts is well seperated in the tsne plot of ipynb, It can't prove the function of scDeepCluster, can you provide a more powerful example to prove the effect of scDeepCluster

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You can generate datasets with larger dropout rates, set dropout.mid to a larger value such as 0.5 or 1 or 1.5 in the Splatter function. I mentioned in the methods part that we generated datasets with various dropout rates. You can use those settings as an example. Thanks.

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