bernardo-de-almeida / DeepSTARR

Deep learning model built to quantitatively predict the activities of developmental and housekeeping enhancers from DNA sequence in Drosophila melanogaster S2 cells
MIT License
52 stars 10 forks source link

how to make figure 1A #4

Closed BenxiaHu closed 1 year ago

BenxiaHu commented 1 year ago

Hello, The DeepSTARR looks a great tool to predict enhancer activity from DNA sequences. Would you like to tell me whether DeepSTARR can predict the motif from gene promoters? I also want to plot the figure 1A.

image
bernardo-de-almeida commented 1 year ago

Hi, The DeepSTARR model was trained on enhancer sequences so it is not a good model to evaluate promoter sequences. What you want would be possible if you train a DeepSTARR-like model on promoter activity data (or maybe DNA accessibility data that is more common and should work well) and then use that new model to evaluate promoters in a similar way as I do here. Hope it helps!