Running drugz in drugz-mean mode

[mjafin]

Hi there,
Thanks for releasing drugz, greatly appreciated.

I have some instances where e.g. one of the treatments or controls is missing. In the paper you stated the paired-sample approach does not appear to offer significant benefits over an unpaired approach: when taking the mean fold change across experimental samples and comparing it to the mean fold change across control samples (Additional file 1: Figure S4A), the results are nearly identical to analysis of three paired samples

I was wondering if there was a way to enable drugz-mean when the number of controls doesn't equal the number of treated samples, to keep my pipeline tidier (i.e. not having to resort to other algorithms)?

Best regards,
Miika

[mcolic]

Hi Miika,

You can use -unpaired flag to run drugZ in an unpaired approach.
Hope this helps.
Let me know if you have any further questions, or need further assistance.

Best,
Medina

[mjafin]

@mcolic Thanks for the reply and adding support for the unpaired approach, much appreciated!

Best wishes,
Miika