Closed gianfilippo closed 2 years ago
If possible, could you share your data or an MRE?
Hi, here it is Thanks expression.tsv.txt.zip
Hi,
an update/correction to my original issue.
I took a better look at the output and ARACNE, in reality, has a few non-zero weight edges, specifically I get 272 non-zero weights out of 1174896. So, it is not really all zeros. Probably only very conservative ? Other algos also generate a considerable number of zero weight edges, but definitely no as few. For instance, Tigress gives me 29965 non-zero out of 1174895, and elnet 87206 non-zero out of 1174896, definiely more reasonable.
Best
ARACNe is very sparse, so I suspected something like this. Especially if you select only certain targets you will see very few links predicted. I'd leave it out of the ensemble for your use-case to be honest
yes, at this point I will be leaving it out Thanks
Hi,
I am running a script like in your tutorial. My data are batch corrected and have negative values. I am running with a target file
mi -t $dataDIR/$targetFILE -m ARACNE -i $dataDIR/$exprFILE -g $dataDIR/$geneFILE -M $outDIR/mi_full_scores.tsv -o $outDIR/aracne_scores.tsv
The output for ARACNE has only zeroes. Is there a problem with inputting data with negative values ?
Thanks