Hello, it's me again.
I have a question on how you select a threshold for the deepbind score. I see in your example with 4 models and 4 sequences, that the good models have a high, positive value and the rest have a negative value. I ran deepbind on my own sequences and got many different scores, negative and positive. Many are in the range [0,1]. I want to select a score to define the 'good' models for each sequence. I read the supplementary file and it seems that you calculate for each motif (k-mer) a Z-score and E-score and an AUC, based on the k-mer's intensity. Is this how you determine the significant scores?
Hello, it's me again. I have a question on how you select a threshold for the deepbind score. I see in your example with 4 models and 4 sequences, that the good models have a high, positive value and the rest have a negative value. I ran deepbind on my own sequences and got many different scores, negative and positive. Many are in the range [0,1]. I want to select a score to define the 'good' models for each sequence. I read the supplementary file and it seems that you calculate for each motif (k-mer) a Z-score and E-score and an AUC, based on the k-mer's intensity. Is this how you determine the significant scores?
Thank you very much! Eleni