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rebuild documentation
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sophiamaedler committed May 31, 2024
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2 changes: 1 addition & 1 deletion docs/html/.buildinfo
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# Sphinx build info version 1
# This file hashes the configuration used when building these files. When it is not found, a full rebuild will be done.
config: 5e52e2615b12b741b566a6519af889f6
config: b60e509b812427f0a4a6ca47ff039bfe
tags: 645f666f9bcd5a90fca523b33c5a78b7
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4 changes: 2 additions & 2 deletions docs/html/_sources/index.rst.txt
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Expand Up @@ -11,12 +11,12 @@ SPARCSpy is a scalable toolkit to analyse single-cell image datasets. This Pytho
Installation
=============

Check out the installation instructions :ref:`here<installation>`. You can validate your installation by running one of the example notebooks `here <https://github.com/MannLabs/SPARCSpy/tree/main/docs_source/pages/notebooks>`_.
Check out the installation instructions :ref:`here<installation>`. You can validate your installation by running one of the example notebooks `here <https://github.com/MannLabs/SPARCSspatial/tree/main/docs_source/pages/notebooks>`_.

Getting Started
===============

You can check out our :ref:`quickstart<quickstart>` guide to get started with SPARCSpy. For more detailed information on the package, we have written an in depth :ref:`computational workflow <pipeline>` guide. In the github repository you can also find some `tutorial notebooks <https://github.com/MannLabs/SPARCSpy/tree/main/docs_source/pages/notebooks>`_ as well as `small example datasets <https://github.com/MannLabs/SPARCSpy/tree/main/example_data>`_ to get started with. If you encounter issues feel free to `open up a git issue <https://github.com/MannLabs/SPARCSpy/issues>`_.
You can check out our :ref:`quickstart<quickstart>` guide to get started with SPARCSpy. For more detailed information on the package, we have written an in depth :ref:`computational workflow <pipeline>` guide. In the github repository you can also find some `tutorial notebooks <https://github.com/MannLabs/SPARCSspatial/tree/main/docs_source/pages/notebooks>`_ as well as `small example datasets <https://github.com/MannLabs/SPARCSspatial/tree/main/example_data>`_ to get started with. If you encounter issues feel free to `open up a git issue <https://github.com/MannLabs/SPARCSspatial/issues>`_.

Citing our Work
================
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3 changes: 2 additions & 1 deletion docs/html/_sources/pages/module.rst.txt
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Expand Up @@ -6,4 +6,5 @@ Module Documentation

module/processing
module/pipeline
module/ml
module/ml
module/utils
5 changes: 5 additions & 0 deletions docs/html/_sources/pages/module/processing.rst.txt
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Expand Up @@ -15,4 +15,9 @@ preprocessing
segmentation
############
.. automodule:: sparcscore.processing.segmentation
:members:

filtering
#########
.. automodule:: sparcscore.processing.filtering
:members:
12 changes: 12 additions & 0 deletions docs/html/_sources/pages/module/utils.rst.txt
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*******************
utils
*******************

.. toctree::
:maxdepth: 3

vis
########

.. automodule:: sparcscore.utils.vis
:members:
4 changes: 2 additions & 2 deletions docs/html/_sources/pages/quickstart/installation.rst.txt
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Expand Up @@ -14,7 +14,7 @@ We recommend installing the dependencies with mamba or conda before installing S

.. code::
git clone https://github.com/MannLabs/SPARCSpy
git clone https://github.com/MannLabs/SPARCSspatial
cd SPARCSpy
conda create -n "SPARCSpy"
Expand Down Expand Up @@ -59,7 +59,7 @@ Currently SPARCSpy depends on a developer version of alphabase so please install
SPARCSpy also depends on the `py-lmd <https://github.com/MannLabs/py-lmd>`_ library. Before proceeding please install the py-lmd libray into the same conda environment following the installation instructions `here <https://mannlabs.github.io/py-lmd/html/pages/quickstart.html#installation-from-github>`_.
Once these steps are completed you can proceed to install the SPARCSpy package.

Clone the `Github repository <https://github.com/MannLabs/sparcspy>`_ and use pip to install the library in your current environment. Please make sure that the package is installed editable (with the `-e` flag). Otherwise pretrained models might not be available:
Clone the `Github repository <https://github.com/MannLabs/SPARCSspatial>`_ and use pip to install the library in your current environment. Please make sure that the package is installed editable (with the `-e` flag). Otherwise pretrained models might not be available:

.. code::
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123 changes: 123 additions & 0 deletions docs/html/_static/_sphinx_javascript_frameworks_compat.js
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73 changes: 46 additions & 27 deletions docs/html/_static/basic.css
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*
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Expand All @@ -237,14 +237,8 @@ a.headerlink {
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Expand Down Expand Up @@ -335,12 +329,16 @@ p.sidebar-title {
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Expand Down Expand Up @@ -379,13 +377,17 @@ div.body p.centered {

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Expand Down Expand Up @@ -428,10 +430,6 @@ table.docutils td, table.docutils th {
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Expand Down Expand Up @@ -615,19 +613,26 @@ ul.simple p {
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Expand All @@ -644,10 +649,6 @@ dl.field-list > dt {
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Expand All @@ -673,6 +674,16 @@ dd {
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Expand Down Expand Up @@ -741,6 +752,14 @@ abbr, acronym {
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pre {
Expand Down
2 changes: 1 addition & 1 deletion docs/html/_static/css/theme.css

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