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
If we wish to get the read level information of the methylated transcript, can we use the second column i.e. read levele and k-mer probability of the middle A of the file read_level_prediction_m6A_sorted to filter the methylation probability of >=0.9 ? As in, is the methylation probability of site level in the site-level prediction file same as that of probability (second column) in the read level prediction file ?
The text was updated successfully, but these errors were encountered:
Hi,
Yes, the second column in the read_level_prediction_m6A_sorted will provide the read-level prediction probability from model 1. Then we have model 2 that takes those probabilities and predicts site-level probabilities. The site-level predictions provide the stochiometry that is calculated from the read-level probabilities of model 1. We used a double cutoff of 0.7 and 0.3 for read-level predictions. So you can consider reads with probability >= 0.7 to be methylated and probability <=0.3 non-methylated.
I hope it helps!
Thanks,
Akanksha
If we wish to get the read level information of the methylated transcript, can we use the second column i.e. read levele and k-mer probability of the middle A of the file read_level_prediction_m6A_sorted to filter the methylation probability of >=0.9 ? As in, is the methylation probability of site level in the site-level prediction file same as that of probability (second column) in the read level prediction file ?
The text was updated successfully, but these errors were encountered: