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davek44 avatar davek44 commented on August 19, 2024

Questions about Kipoi output are best directed to the leaders of that project; I’m not familiar with how they’re using Basenji.

For predictions relative to a gene annotation, see this tutorial https://github.com/calico/basenji/blob/master/tutorials/genes.ipynb

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yuetang625-UT avatar yuetang625-UT commented on August 19, 2024

thanks for your reply. I have tried the GitHub basenji prediction with basenji_sed.py. It successfully gave me the expression results. However, I'm not sure what's the definition of gene expression. I'm curious that in the publication it seems the training results are the 128 bin coverage for different cell types. So how does basenji link the coverage with the expression? Does this method use TSS coverage to predict the expression? I suppose here the gene expression level is not the FPKM score.

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davek44 avatar davek44 commented on August 19, 2024

Yes, it’s using predicted activity in the 128 bp bin that covers the gene’s TSSs to describe its expression. I have a preprocessing step that takes in a GTF to determine those positions.

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yuetang625-UT avatar yuetang625-UT commented on August 19, 2024

Thank you for the explanation.

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