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Simplify Colab notebook links
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docs/colab_notebooks.rst

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@@ -5,55 +5,7 @@ These notebooks capture the larger, end-to-end strictosidine case study workflow
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``teemi``. They are the best starting point if you want to run the published DBTL examples in
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Google Colab with as little setup as possible.
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Each notebook includes a direct Colab launch badge plus a GitHub source link.
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.. |colab00| image:: https://colab.research.google.com/assets/colab-badge.svg
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:alt: Open notebook 00 in Google Colab
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:target: https://colab.research.google.com/github/hiyama341/teemi/blob/main/colab_notebooks/00_1_DESIGN_Homologs.ipynb
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.. |colab01| image:: https://colab.research.google.com/assets/colab-badge.svg
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:alt: Open notebook 01 in Google Colab
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:target: https://colab.research.google.com/github/hiyama341/teemi/blob/main/colab_notebooks/01_1_DESIGN_Promoters.ipynb
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.. |colab02| image:: https://colab.research.google.com/assets/colab-badge.svg
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:alt: Open notebook 02 in Google Colab
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:target: https://colab.research.google.com/github/hiyama341/teemi/blob/main/colab_notebooks/02_1_DESIGN_Combinatorial_library.ipynb
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.. |colab03| image:: https://colab.research.google.com/assets/colab-badge.svg
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:alt: Open notebook 03 in Google Colab
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:target: https://colab.research.google.com/github/hiyama341/teemi/blob/main/colab_notebooks/03_1_BUILD_gRNA_plasmid.ipynb
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.. |colab04| image:: https://colab.research.google.com/assets/colab-badge.svg
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:alt: Open notebook 04 in Google Colab
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:target: https://colab.research.google.com/github/hiyama341/teemi/blob/main/colab_notebooks/04_1_BUILD_Background_strain.ipynb
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.. |colab05| image:: https://colab.research.google.com/assets/colab-badge.svg
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:alt: Open notebook 05 in Google Colab
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:target: https://colab.research.google.com/github/hiyama341/teemi/blob/main/colab_notebooks/05_1_BUILD_Combinatorial_library.ipynb
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.. |colab06| image:: https://colab.research.google.com/assets/colab-badge.svg
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:alt: Open notebook 06 in Google Colab
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:target: https://colab.research.google.com/github/hiyama341/teemi/blob/main/colab_notebooks/06_1_TEST_Library_characterisation.ipynb
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.. |colab07| image:: https://colab.research.google.com/assets/colab-badge.svg
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:alt: Open notebook 07 in Google Colab
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:target: https://colab.research.google.com/github/hiyama341/teemi/blob/main/colab_notebooks/07_1_LEARN_Modelling_and_predictions.ipynb
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.. |colab08| image:: https://colab.research.google.com/assets/colab-badge.svg
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:alt: Open notebook 08 in Google Colab
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:target: https://colab.research.google.com/github/hiyama341/teemi/blob/main/colab_notebooks/08_2_DESIGN_Model_recommended_combinatiorial_library.ipynb
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.. |colab09| image:: https://colab.research.google.com/assets/colab-badge.svg
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:alt: Open notebook 09 in Google Colab
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:target: https://colab.research.google.com/github/hiyama341/teemi/blob/main/colab_notebooks/09_2_BUILD_Combinatorial_library.ipynb
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.. |colab10| image:: https://colab.research.google.com/assets/colab-badge.svg
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:alt: Open notebook 10 in Google Colab
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:target: https://colab.research.google.com/github/hiyama341/teemi/blob/main/colab_notebooks/10_2_TEST_Library_characterization.ipynb
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.. |colab11| image:: https://colab.research.google.com/assets/colab-badge.svg
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:alt: Open notebook 11 in Google Colab
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:target: https://colab.research.google.com/github/hiyama341/teemi/blob/main/colab_notebooks/11_2_LEARN_Modelling_and_predictions.ipynb
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Each notebook links to both Google Colab and the GitHub source file.
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Strictosidine Case: First DBTL Cycle
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------------------------------------
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~~~~~~
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.. list-table::
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:widths: 7 43 25 25
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:widths: 7 53 40
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:header-rows: 1
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* - ID
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- Focus
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- Launch
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- Source
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- Links
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* - 00
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- Automatically fetch homologs from NCBI in a standardizable and repeatable way.
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- |colab00|
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- `GitHub <https://github.com/hiyama341/teemi/blob/main/colab_notebooks/00_1_DESIGN_Homologs.ipynb>`__
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- `Open in Colab <https://colab.research.google.com/github/hiyama341/teemi/blob/main/colab_notebooks/00_1_DESIGN_Homologs.ipynb>`__ | `GitHub <https://github.com/hiyama341/teemi/blob/main/colab_notebooks/00_1_DESIGN_Homologs.ipynb>`__
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* - 01
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- Select promoters from RNA-seq data and fetch them from online databases with quality checks.
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- |colab01|
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- `GitHub <https://github.com/hiyama341/teemi/blob/main/colab_notebooks/01_1_DESIGN_Promoters.ipynb>`__
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- `Open in Colab <https://colab.research.google.com/github/hiyama341/teemi/blob/main/colab_notebooks/01_1_DESIGN_Promoters.ipynb>`__ | `GitHub <https://github.com/hiyama341/teemi/blob/main/colab_notebooks/01_1_DESIGN_Promoters.ipynb>`__
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* - 02
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- Generate a combinatorial library with ``DesignAssembly`` and prepare it for downstream build planning.
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- |colab02|
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- `GitHub <https://github.com/hiyama341/teemi/blob/main/colab_notebooks/02_1_DESIGN_Combinatorial_library.ipynb>`__
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- `Open in Colab <https://colab.research.google.com/github/hiyama341/teemi/blob/main/colab_notebooks/02_1_DESIGN_Combinatorial_library.ipynb>`__ | `GitHub <https://github.com/hiyama341/teemi/blob/main/colab_notebooks/02_1_DESIGN_Combinatorial_library.ipynb>`__
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Build
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~~~~~
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.. list-table::
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:widths: 7 43 25 25
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:widths: 7 53 40
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* - ID
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- Focus
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- Launch
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- Source
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- Links
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* - 03
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- Assemble a CRISPR plasmid with USER cloning.
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- |colab03|
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- `GitHub <https://github.com/hiyama341/teemi/blob/main/colab_notebooks/03_1_BUILD_gRNA_plasmid.ipynb>`__
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- `Open in Colab <https://colab.research.google.com/github/hiyama341/teemi/blob/main/colab_notebooks/03_1_BUILD_gRNA_plasmid.ipynb>`__ | `GitHub <https://github.com/hiyama341/teemi/blob/main/colab_notebooks/03_1_BUILD_gRNA_plasmid.ipynb>`__
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- Construct the background strain by knocking out G8H and CPR.
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- |colab04|
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- `GitHub <https://github.com/hiyama341/teemi/blob/main/colab_notebooks/04_1_BUILD_Background_strain.ipynb>`__
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- `Open in Colab <https://colab.research.google.com/github/hiyama341/teemi/blob/main/colab_notebooks/04_1_BUILD_Background_strain.ipynb>`__ | `GitHub <https://github.com/hiyama341/teemi/blob/main/colab_notebooks/04_1_BUILD_Background_strain.ipynb>`__
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- Generate the first combinatorial library covering 1280 possible combinations.
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- |colab05|
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- `GitHub <https://github.com/hiyama341/teemi/blob/main/colab_notebooks/05_1_BUILD_Combinatorial_library.ipynb>`__
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- `Open in Colab <https://colab.research.google.com/github/hiyama341/teemi/blob/main/colab_notebooks/05_1_BUILD_Combinatorial_library.ipynb>`__ | `GitHub <https://github.com/hiyama341/teemi/blob/main/colab_notebooks/05_1_BUILD_Combinatorial_library.ipynb>`__
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Test
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~~~~
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.. list-table::
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:widths: 7 43 25 25
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:widths: 7 53 40
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- Launch
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- Links
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- Process LC-MS data and genotype the generated strains.
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- |colab06|
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- `GitHub <https://github.com/hiyama341/teemi/blob/main/colab_notebooks/06_1_TEST_Library_characterisation.ipynb>`__
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- `Open in Colab <https://colab.research.google.com/github/hiyama341/teemi/blob/main/colab_notebooks/06_1_TEST_Library_characterisation.ipynb>`__ | `GitHub <https://github.com/hiyama341/teemi/blob/main/colab_notebooks/06_1_TEST_Library_characterisation.ipynb>`__
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Learn
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~~~~~
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.. list-table::
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:widths: 7 43 25 25
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:widths: 7 53 40
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- Launch
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- Links
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- Use AutoML to predict the best combinations for a targeted second round of library construction.
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- |colab07|
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- `GitHub <https://github.com/hiyama341/teemi/blob/main/colab_notebooks/07_1_LEARN_Modelling_and_predictions.ipynb>`__
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- `Open in Colab <https://colab.research.google.com/github/hiyama341/teemi/blob/main/colab_notebooks/07_1_LEARN_Modelling_and_predictions.ipynb>`__ | `GitHub <https://github.com/hiyama341/teemi/blob/main/colab_notebooks/07_1_LEARN_Modelling_and_predictions.ipynb>`__
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Strictosidine Case: Second DBTL Cycle
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-------------------------------------
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.. list-table::
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- Launch
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- Links
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- Translate machine-learning results into a targeted library of strains.
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- |colab08|
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- `GitHub <https://github.com/hiyama341/teemi/blob/main/colab_notebooks/08_2_DESIGN_Model_recommended_combinatiorial_library.ipynb>`__
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- `Open in Colab <https://colab.research.google.com/github/hiyama341/teemi/blob/main/colab_notebooks/08_2_DESIGN_Model_recommended_combinatiorial_library.ipynb>`__ | `GitHub <https://github.com/hiyama341/teemi/blob/main/colab_notebooks/08_2_DESIGN_Model_recommended_combinatiorial_library.ipynb>`__
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Build
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~~~~~
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.. list-table::
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- Launch
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- Links
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- Construct the targeted second-round library of strains.
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- |colab09|
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- `GitHub <https://github.com/hiyama341/teemi/blob/main/colab_notebooks/09_2_BUILD_Combinatorial_library.ipynb>`__
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- `Open in Colab <https://colab.research.google.com/github/hiyama341/teemi/blob/main/colab_notebooks/09_2_BUILD_Combinatorial_library.ipynb>`__ | `GitHub <https://github.com/hiyama341/teemi/blob/main/colab_notebooks/09_2_BUILD_Combinatorial_library.ipynb>`__
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- Process second-cycle LC-MS characterization data.
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- |colab10|
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- `GitHub <https://github.com/hiyama341/teemi/blob/main/colab_notebooks/10_2_TEST_Library_characterization.ipynb>`__
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- `Open in Colab <https://colab.research.google.com/github/hiyama341/teemi/blob/main/colab_notebooks/10_2_TEST_Library_characterization.ipynb>`__ | `GitHub <https://github.com/hiyama341/teemi/blob/main/colab_notebooks/10_2_TEST_Library_characterization.ipynb>`__
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Learn
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- Run the second ML cycle and inspect improved performance and saturation of top strains.
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- |colab11|
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- `GitHub <https://github.com/hiyama341/teemi/blob/main/colab_notebooks/11_2_LEARN_Modelling_and_predictions.ipynb>`__
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- `Open in Colab <https://colab.research.google.com/github/hiyama341/teemi/blob/main/colab_notebooks/11_2_LEARN_Modelling_and_predictions.ipynb>`__ | `GitHub <https://github.com/hiyama341/teemi/blob/main/colab_notebooks/11_2_LEARN_Modelling_and_predictions.ipynb>`__
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Publication
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