Functional alignment of fMRI data in Python
Project description
# 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
### Prerequisites
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
### Installing
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!
### Documentation
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.
## License
This project is licensed under the Simplified BSD License.
## Acknowledgments
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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