rorraro

Guys, molecular biologist here impressed by the huge work you all guys are doing. My project requires using the same code for repeated experimental variations and automatically annotating significances in...

> That is very kind of you sir. I will be eagerly waiting for you to release this Kruskal+Dunn for 3 or more with statannotation. And my best wishes for...

Many thanks Sepro! Very nice tutorial. Is a bit over my current level of PyThon, but I am sure following your steps I will be able to make it through....

Unfortunately I haven't been able to tackle the posthoc_dunn() command right... i am trying to understand why. "LCRsHamburgDMW" is my df, "Disease" are my categories and "SUM all Bands" are...

Many thanks @sepro, that worked beautifully!! I´ll keep the pathway. Hopefully no more blocks because of my lack of expertise. Cheers!

Your magic worked, Sebastian! Thanks so much! Now I have another challenge for the future. Trimming the data to only significant results. haha  !

I think got it creating a molten_df_trim like molten_df_trim = molten_df[molten_df["value"] < 0.05] would that be conceptually correct? 

OH yes, good point! I´ll remember that By the way, I am also trying to eliminate the annotation pairs that I do not need because they are comparisons that do...

Thanks Sebastian! I apologise. I thought it could be useful for newies like me. Over and out!

Many thanks, Sebastian! You have been extremely helpful!