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R package "ARCOS"

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Installation instructions:

You can install the development version from GitHubarrow-up-right with:

# install.packages("devtools")
devtools::install_github("dmattek/ARCOS")

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Package Specific Documentation and usage instructions:

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Github repository:

Napari Plugin "arcos-gui"

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Napari

Napari arrow-up-rightis a multidimensional image viewer for python. It is available either as a python package or as a standalone application. See herearrow-up-right for installation instructions of napari.

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Demo of the napari plugin on Youtube:

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Installation instructions:

After successfully installing napari, you can install arcos-gui via :

Or install arcos-gui from within napari via the plugin toolbar (required for the standalone version).

To install the most recent development version :

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Package Specific Documentation and usage instructions:

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Github repository:

piparrow-up-right
pip install arcos-gui
pip install git+https://github.com/bgraedel/arcos-gui.git

Avalilable Implementations

We provide several implementations of ARCOS as open-source code which can be found on github.

The code provided as R and Python packages can be used in Jupyter notebooks or in batch processing pipelines. The Napari plugin enables anyone without extensive programming knowledge to explore parameters through an intuitive GUI on a platform that emerges as a de-facto standard for viewing multidimensional images

https://dmattek.github.io/ARCOS/indexdmattek.github.iochevron-right

Python Package "arcos4py"

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Installation instructions:

To install from pip, run this command in your terminal:

pip install arcos4py

Installing from conda-forge can be achieved by adding conda-forge to your channels with:

conda config --add channels conda-forge
conda config --set channel_priority strict

Once the conda-forge channel has been enabled, arcos4py can be installed with the conda package manager:

Pip and conda-forge are the preferred methods to install arcos4py, as it will always install the most recent stable release.

The source for arcos4py can be downloaded from the .

You can either clone the public repository:

Or download the :

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Package Specific Documentation and usage instructions:

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Github repository:

conda install arcos4py
git clone https://github.com/bgraedel/arcos4py
Github repoarrow-up-right
tarballarrow-up-right
curl -OJL https://github.com/bgraedel/arcos4py/tarball/master
https://bgraedel.github.io/arcos-gui/bgraedel.github.iochevron-right
GitHub - bgraedel/arcos-gui: napari-plugin to analyse collective signalling eventsGitHubchevron-right
GitHub - dmattek/ARCOS: An R package to detect collective spatio-temporal phenomenaGitHubchevron-right
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https://bgraedel.github.io/arcos4py/bgraedel.github.iochevron-right
GitHub - bgraedel/arcos4py: Python package to detect and analyse collective phenomenaGitHubchevron-right
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