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I noticed that HMMRATAC does not seem to be deterministic. If I run it multiple times, sometimes I get a different number of peaks. I see that there is a --randomSeed parameter that is set by default. Is that not controlling for everything?
The text was updated successfully, but these errors were encountered:
It is possible that certain functions that we used from Numpy/Scipy/sci-kit-learn/hmmlearn escaped the randomSeed setting. But we do have github action testing for macs3 code to make sure that everytime we update the codes, the results should be at least 'similar'. Do you know how big the difference is?
The differences are variable. For example, 4,000 to 5,400, 2,600 to 2,100, 3,100 to 8,100. Obviously, these are not very good samples, so that may have something to do with it.
I noticed that HMMRATAC does not seem to be deterministic. If I run it multiple times, sometimes I get a different number of peaks. I see that there is a
--randomSeed
parameter that is set by default. Is that not controlling for everything?The text was updated successfully, but these errors were encountered: