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PyCaret - LORIS Tutorial #5539
PyCaret - LORIS Tutorial #5539
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Loris tutorial
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@paulocilasjr I would like to get at least one more reviewer looking at it content wise. I have pinged people in our Matrix channel.
If you need this urgendtly, we can add draft: true
like here and merge it.
This means you can reach the training via URL but it will not be listed on the frontpage.
I will find sometime this week and have a look :) |
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@paulocilasjr thank you for the tutorial. I have added a few comments inline. I tried to run the tutorial on https://cancer.usegalaxy.org/ but am unable to. I upload the datasets as TSV
files and try to run the PyCaret Model Comparison
tool but the jobs go to the paused state. I have tried two times, each time verifying the input datasets. Do I miss something? Please refer to the following screenshots:
objectives: | ||
- Use a large dataset of immune checkpoint blockade (ICB)-treated and non-ICB-treated patients across 18 solid tumor types, encompassing a wide range of clinical, pathologic and genomic features to build a Machine Learning Model. | ||
- Build a Machine Learning model using PyCaret in Galaxy. | ||
- Evaluate the model for robustness by comparing it with the original LORIS LLR6 model published by Chang et al., 2024. |
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The LORIS LLR6 model should be discussed in the tutorial. Details such as model architecture, features etc should be mentioned. It would improve the tutorial.
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Thank you. I have included more information regarding the LLR6 model.
Co-authored-by: Björn Grüning <[email protected]>
Co-authored-by: Anup Kumar, PhD <[email protected]>
Co-authored-by: Anup Kumar, PhD <[email protected]>
Co-authored-by: Anup Kumar, PhD <[email protected]>
Co-authored-by: Anup Kumar, PhD <[email protected]>
Co-authored-by: Anup Kumar, PhD <[email protected]>
Regarding the jobs being paused, I had the system administrator check the job you started. He said that it was in the queue to run; there was nothing wrong with the job itself, just a long queue time. Could you try again and let me know if you are still facing long queue times?
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@anuprulez Solution: Let me know if you encounter any issues trying this. Explanation of why you are getting the error:
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I added a tip just in case. |
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I could run the tutorial by importing datasets in the "auto detect" mode for extension. It works fine and looks good. I have one minor suggestion:
Check that the data format assigned for the file is **tabular**.
Can you make this change for avoiding confusion related to the dataset format? The dataset's path has .tsv
extension but Galaxy shows it as tabular
after upload and not as tsv
. Therefore, I think informing user to be aware when they see that the dataset does not have a tabular
extension after upload would be enough. Thanks!
Co-authored-by: Anup Kumar, PhD <[email protected]>
Thank you. |
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Looks good to me! thanks @paulocilasjr
This tutorial guides users in building and evaluating an ICB treatment prediction model using the LORIS dataset and Galaxy-PyCaret. It covers model comparison, performance assessment, and tests the robustness of the LORIS Score.
Changes:
/topics/statistics/images/loris_tutorial
/topics/statistics/tutorials/loris_model
The images were generated by me.