Skipping the clustering

[bioguy2018]

Dear all,
I already know my data clustering affected by my batches and I read thatI can skip the clustering part in the training but I am not sure how this is achieved! should I just skip the FlowSOM.params in the training function and then the clustering is skipped? sorry but this was't so clear to me in the documentation.
Also I have a question regarding to the training data. Can the training data be used with normalized facs files or do I need to normalize the training data too by somehow including them in the normalization process?

Thank you so much!

[hrj21]

Hello, I also cannot find in the documentation how to skip the clustering step and would like to know how to achieve this.

[SofieVG]

Hi all, If you don't want to include the clustering step, you can use the QuantileNorm.train and QuantileNorm.normalize functions from the CytoNorm package. The CytoNorm.train/normalize functions are actually wrappers around those to apply it on clusters. Hope this helps! Sofie

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On Tue, 27 Jun 2023, 15:40 Hefin Ioan Rhys, ***@***.***> wrote: Hello, I also cannot find in the documentation how to skip the clustering step and would like to know how to achieve this. — Reply to this email directly, view it on GitHub <#13 (comment)>, or unsubscribe <https://github.com/notifications/unsubscribe-auth/AAOS722P2PHHC2LRLISNX7DXNLPDZANCNFSM4PESZG3A> . You are receiving this because you are subscribed to this thread.Message ID: ***@***.***>

[hrj21]

Thank you @SofieVG , that makes sense. Thank you again for contributing such impactful packages to the field!