issues Search Results · repo:seqcode/cross-species-domain-adaptation language:"Jupyter Notebook"
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inseqcode/cross-species-domain-adaptation (press backspace or delete to remove)I have installed the versions of all dependancies listed in the README.md.
2_train_and_test_models/train.py calls the ModelSaveCallback class from callbacks.py, which saves model files in new
directories ...
sbresnahan
- Opened on Nov 20, 2023
- #8
Due to some technical issues I was unable to setup peak calling with MultiGPS and unable to generate the
positive/negative window files chr3toY_pos_shuf.bed and chr3toY_pos_shuf.bed. I imagine these files ...
sheetalgiri
- 1
- Opened on Nov 27, 2022
- #7
Hi @kellycochran,
When I follow the 0_generate_predictions_for_other_notebooks.ipynb script to get predicted values by using trained
models.
I couldn t receive all predicted values, only multiples of ...
XuanrZhang
- 3
- Opened on Sep 26, 2022
- #6
Hi kelly, @kellycochran @shaunmahony
Can you share flipGradientTF.py file you use in 0_generate_predictions_for_other_notebooks.ipynb ?
Since the flipGradientTF.py I downloaded from GitHub only works ...
XuanrZhang
- 2
- Opened on Sep 14, 2022
- #5
I did not find the source code for verifying the trained models on the test data. Could you please offer the source code
about it? Many thanks.
turningpoint1988
- 3
- Opened on Aug 5, 2022
- #4
Are they binding peaks derived from the Human and Mouse species? Thanks a lot.
turningpoint1988
- 2
- Opened on Jul 15, 2022
- #3

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