You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
Hi again.
I have run a comparison between two samples and when I compare the methylation and expression values that appear in the file are different from the values in the input files (plus adding 1 in expression and multiplying by 100 in methylation), for example:
treatment_exp.txt
PHYBL_145520 0.0 (but the CG_Gene_Body_chosen_genes.txt it is shown 17.51147464)
control_exp.txt
PHYBL_145520 0.0 (correct, the program adds 1 to all expression values)
And same for the methylation values, the treatment values are incorrect and the control ones are ok. This occurs for all genes.
I noticed that the methylation and expression values correspond to other genes, it is as if there has been an exchange of values and it always happens in the treatment sample but not in the control sample.
The text was updated successfully, but these errors were encountered:
Hi.
I have been testing with the input files and I think this error occurs because in the preprocessing phase of the samples (preprocess.py) the methylation files (GeneMeant.txt, PromoterMean.txt etc) that are generated have a number of genes that differs with the number of genes that appear in the expression file.
Hi again.
I have run a comparison between two samples and when I compare the methylation and expression values that appear in the file are different from the values in the input files (plus adding 1 in expression and multiplying by 100 in methylation), for example:
CG_Gene_Body_chosen_genes.txt:
gene_ID trtmethmean trtexpmean ctrlmethmean ctrlexpmean Δmethylation Δgene expression
PHYBL_145520 0.0 17.51147464 51.250000279396765 1.0 -51.250000279396765 4.130228673018407
treatment_exp.txt
PHYBL_145520 0.0 (but the CG_Gene_Body_chosen_genes.txt it is shown 17.51147464)
control_exp.txt
PHYBL_145520 0.0 (correct, the program adds 1 to all expression values)
And same for the methylation values, the treatment values are incorrect and the control ones are ok. This occurs for all genes.
I noticed that the methylation and expression values correspond to other genes, it is as if there has been an exchange of values and it always happens in the treatment sample but not in the control sample.
The text was updated successfully, but these errors were encountered: