limited reproducibility

[grst]

Hi,

I applied solo to an immune cell dataset and it appears to work quite well.
However, I get (slightly) different results every time I run solo, which is a bit annoying as this also changes the downstream clustering step.

Is there any way to make solo's result reproducible (such as setting a seed)? I would like to be able to share my entire analysis as a reproducible pipeline in the end.

Best,
Gregor

[njbernstein]

Hi @grst

I can add the ability to set a seed.

Best,
Nick

[grst]

Hi Nick,

that would be awesome!

[njbernstein]

@grst Really sorry about the slow turn around on this. You should be able to install the changes doing the following:

git clone [email protected]:calico/solo.git && cd solo && conda create -n solo python=3.6 && conda activate solo && pip install -e .

[grst]

thanks a lot for implementing this! I'll give it a try after the holidays.

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