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We would like to include a module or function that allows users to visualize the effects of single base substitutions. This would be a heatmap of the changes in model prediction for a single genomic feature, where the columns of the heatmap correspond to each base position in the input sequence. The rows of the heatmap are the base substitutions.
In in silico mutagenesis, the rows would be all 4 bases (with the reference/original base grayed out) because we substitute in all other bases.
@jzthree I forgot what we decided for visualization of variant effect prediction. Would you be able to provide a description here?
The text was updated successfully, but these errors were encountered:
Addressed in #28. Should wait until #25 is merged and mutagenesis is added so we can actually incorporate the plotting function. Right now I am just converting the encoded sequences and predictions into a matrix.
Update: I've gone ahead and added functionality for generating a sequence motif in matplotlib.
We would like to include a module or function that allows users to visualize the effects of single base substitutions. This would be a heatmap of the changes in model prediction for a single genomic feature, where the columns of the heatmap correspond to each base position in the input sequence. The rows of the heatmap are the base substitutions.
In in silico mutagenesis, the rows would be all 4 bases (with the reference/original base grayed out) because we substitute in all other bases.
@jzthree I forgot what we decided for visualization of variant effect prediction. Would you be able to provide a description here?
The text was updated successfully, but these errors were encountered: