malonzm1

Thanks. Only learn the variances and HMM transitions. Is this possible?

Thanks. I tried `predict_proba()` but when I took a look at the selected states they don't necessarily correspond to the highest probabilities (though most do). What am I missing? Thanks.

Thanks! It is the first, the selected states from `model.predict` don't match the highest probabilities from `model.predict_proba`. I don't suppose there's a similar `model.predict_proba` function for `model.predict` that outputs state...

Hi @alexlenail Re > I think it might be enough to leave it to random chance. As it is now, `sc.pl.umap` works with 70 colors, which aren't easily distinguishable --...

Hi! I get a similar error ` Beginning permutation 2 ...Chromosome chr1: Error in h(simpleError(msg, call)) : error in evaluating the argument 'args' in selecting a method for function 'do.call':...

@ChuanXu1 Thanks. Would you say that if I were interested in `majority_voting` it would be better to perform celltypist before concatenation?

When I run kallisto with the script that generates identical output as elysium/archs4 there are no genes with prefix ENSG (the output with ENSG genes include > 60,000 genes while...

Thanks!

Is `majority_voting` more reliable if celltypist is run after batch correction?