Skip to main content

JUelich NeuroImaging FEature extractoR

Project description

Junifer logo

junifer - JUelich NeuroImaging FEature extractoR

PyPI PyPI - Python Version PyPI - Wheel Anaconda-Server Badge GitHub Codecov Code style: black Ruff pre-commit

About

junifer is a data handling and feature extraction library targeted towards neuroimaging data specifically functional MRI data.

It is currently being developed and maintained at the Applied Machine Learning group at Forschungszentrum Juelich, Germany. Although the library is designed for people working at Institute of Neuroscience and Medicine - Brain and Behaviour (INM-7), it is designed to be as modular as possible thus enabling others to extend it easily.

The documentation is available at https://juaml.github.io/junifer.

Repository Organization

  • docs: Documentation, built using sphinx.
  • examples: Examples, using sphinx-gallery. File names of examples that create visual output must start with plot_, otherwise, with run_.
  • junifer: Main library directory.
    • api: User API module.
    • configs: Module for pre-defined configs for most used computing clusters.
    • data: Module that handles data required for the library to work (e.g. parcels, coordinates).
    • datagrabber: DataGrabber module.
    • datareader: DataReader module.
    • markers: Markers module.
    • pipeline: Pipeline module.
    • preprocess: Preprocessing module.
    • storage: Storage module.
    • testing: Testing components module.
    • utils: Utilities module (e.g. logging)

Installation

Use pip to install from PyPI like so:

pip install junifer

You can also install via conda, like so:

conda install -c conda-forge junifer

Citation

If you use junifer in a scientific publication, we would appreciate if you cite our work. Currently, we do not have a publication, so feel free to use the project URL.

Funding

We thank the Helmholtz Imaging Platform and SMHB for supporting development of Junifer. (The funding sources had no role in the design, implementation and evaluation of the pipeline.)

Contribution

Contributions are welcome and greatly appreciated. Please read the guidelines to get started.

License

junifer is released under the AGPL v3 license:

junifer, FZJuelich AML neuroimaging feature extraction library. Copyright (C) 2022, authors of junifer.

This program is free software: you can redistribute it and/or modify it under the terms of the GNU Affero General Public License as published by the Free Software Foundation, either version 3 of the License, or any later version.

This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU Affero General Public License for more details.

You should have received a copy of the GNU Affero General Public License along with this program. If not, see http://www.gnu.org/licenses/.

Project details


Release history Release notifications | RSS feed

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

junifer-0.0.3.dev131.tar.gz (563.9 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

junifer-0.0.3.dev131-py3-none-any.whl (536.8 kB view details)

Uploaded Python 3

File details

Details for the file junifer-0.0.3.dev131.tar.gz.

File metadata

  • Download URL: junifer-0.0.3.dev131.tar.gz
  • Upload date:
  • Size: 563.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.11.4

File hashes

Hashes for junifer-0.0.3.dev131.tar.gz
Algorithm Hash digest
SHA256 8ad315aa599cf178a74be8ebf6f8040744ef05daf4f9a9e87d3ab1e6c50b02a0
MD5 6683cea8398b7c249ed89c57d4d06afa
BLAKE2b-256 cc279ded3ed2ae3b7c1bd0d00c48eb07857e9b25dadb95224a4a0254f7e72146

See more details on using hashes here.

File details

Details for the file junifer-0.0.3.dev131-py3-none-any.whl.

File metadata

  • Download URL: junifer-0.0.3.dev131-py3-none-any.whl
  • Upload date:
  • Size: 536.8 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.11.4

File hashes

Hashes for junifer-0.0.3.dev131-py3-none-any.whl
Algorithm Hash digest
SHA256 c63648e0d7d907bd161c6e2bd22d842aea145a73383a918965c9545c0bc3e3d1
MD5 707c87a7fa9392a1d6e80ee355694863
BLAKE2b-256 4b0785a44a5974a19508b5566dd648422cbe3e01b239dc2a42e022f811ee6ea6

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page