Functional alignment of fMRI data in Python
# fmralign [Functional alignment and template estimation library](https://parietal-inria.github.io/fmralign-docs) for functional Magnetic Resonance Imaging (fMRI) data
This library is meant to be a light-weight Python library that handles functional alignment tasks. It is compatible with and inspired from [Nilearn](http://nilearn.github.io).
Alternative implementations of these ideas can be found in the [pymvpa](http://www.pymvpa.org) or [brainiak](http://brainiak.org) packages.
## Getting Started
fmralign requires a Python installation and the following dependencies: * Python >= 3.6, * Numpy >= 1.16.2 * SciPy >= 1.2.2 * Scikit-learn >= 0.20 * Matplotlib >= ‘1.5.0’ * Nibabel >= 2.5.0 * Nilearn >= 3.1.1
Open a terminal window, go the location where you want to install it. Then run:
` pip install fmralign `
If you plan to use optimal transport based method, you should also run:
` pip install POT `
You’re up and running!
You can found an introduction to functional alignment, a user guide and some examples on how to use the package at https://parietal-inria.github.io/fmralign-docs.
This project is licensed under the Simplified BSD License.
This project has received funding from the European Union’s Horizon 2020 Research and Innovation Programme under Grant Agreement No. 785907 (HBP SGA2). This project was supported by [Digiteo](http://www.digiteo.fr).
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