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added glmPCA notebooks
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vivekbhr committed Nov 5, 2023
1 parent 7130fad commit 3250490
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4 changes: 4 additions & 0 deletions docs/conf.py
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Expand Up @@ -55,9 +55,13 @@ def get_version(path=VPATH):
"sphinx.ext.autosummary",
"sphinxarg.ext",
"sphinx_toolbox.collapse",
'nbsphinx',
]
# 'numpydoc'

# Do not execute tutorial notebooks
nbsphinx_execute = 'never'

# This is needed to suppress autosummary reordering
numpydoc_show_class_members = False

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12 changes: 12 additions & 0 deletions docs/content/tutorials.rst
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@@ -1,9 +1,21 @@
Tutorials
===========

Tutorials for using sincei on the command line
-----------------------------------------------

.. toctree::
:maxdepth: 1

tutorials/sincei_tutorial_sortChIC.rst
tutorials/sincei_tutorial_10x.rst
tutorials/sincei_tutorial_10xATAC.rst

Tutorials for using sincei inside python
-----------------------------------------

.. toctree::
:maxdepth: 1

tutorials/snmC2Tseq_preprocessing
tutorials/GLM_PCA_analysis
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Expand Up @@ -6,7 +6,7 @@
"metadata": {},
"source": [
"# Tutorial for snmC2Tseq\n",
"Using the single-cell methylation data from snmC2Tseq [1], we re-procwessed the dataset to extract smaller bins (10kb), yielding non-Gaussian data. The data is losely following a Beta distribution, and we thus employ GLM-PCA with Beta distribution to find a lower-dimension representation.\n",
"Using the single-cell methylation data from snmC2Tseq [1], we re-processed the dataset to extract smaller bins (10kb), yielding non-Gaussian data. The data is losely following a Beta distribution, and we thus employ GLM-PCA with Beta distribution to find a lower-dimension representation.\n",
"<br/>\n",
"[1]: https://www.sciencedirect.com/science/article/pii/S2666979X22000271?via%3Dihub"
]
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1 change: 1 addition & 0 deletions docs/requirements.txt
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Expand Up @@ -2,4 +2,5 @@ sphinx >=5.0
sphinx-argparse >=0.2.5
sphinx-toolbox
sphinx_rtd_theme
nbsphinx
numpydoc

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