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The pre-trained models of other cell types #32

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lhy0322 opened this issue Nov 30, 2023 · 2 comments
Open

The pre-trained models of other cell types #32

lhy0322 opened this issue Nov 30, 2023 · 2 comments

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@lhy0322
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lhy0322 commented Nov 30, 2023

Dear Jimin, Your research has been very helpful in my work!
I am trying to reproduce the best results of your method as our baseline to compare.
Does Origami provide pre trained models for other cell types? (excluding IMR90)

thanks!

@tanjimin
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Hi @lhy0322 , sorry for the late reply. The idea of C.Origami is that the model trained on IMR-90 will also work on different cell types as well as shown in the paper. You can preprocess the ATAC-seq and CTCF ChIP-seq from other cell types and try the model directly.

@May-0707
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May-0707 commented Sep 9, 2024

Dear Jimin,
I preprocessed the ATAC-seq and CTCF CUT&Tag from mm10 and try the model. The default epoch paramater is 80.
The model saved at epoch=79-step=41760.ckpt does not produce any graphical results, whereas the model at epoch=0-step=522.ckpt can generate some graphs, though it is still far inferior to your pre-trained model. The email I sent you described the picture in detail.
HiC-pro and hicpro2higlass.sh generated mcool, cool2npy.py change it to npz. CUT&Tag preprocessed with https://yezhengstat.github.io/CUTTag_tutorial/.
Can you give me some suggestions for improvement or just use your pre-traind model ?
Best regards,
May Young

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