Skip to main content

pyAFQ: Automated Fiber Quantification ... in Python

Project description

pyAFQ

Automated Fiber Quantification ... in Python.

For details, see Documentation

For further analysis of results, see AFQ-Insight

Citing pyAFQ

If you use pyAFQ in a scientific publication, please cite our paper:

Kruper, J., Yeatman, J. D., Richie-Halford, A., Bloom, D., Grotheer, M., Caffarra, S., Kiar, G., Karipidis, I. I., Roy, E., Chandio, B. Q., Garyfallidis, E., & Rokem, A. Evaluating the Reliability of Human Brain White Matter Tractometry. DOI:10.52294/e6198273-b8e3-4b63-babb-6e6b0da10669

@article {Kruper2021-xb,
  title     = "Evaluating the reliability of human brain white matter
               tractometry",
  author    = "Kruper, John and Yeatman, Jason D and Richie-Halford, Adam and
               Bloom, David and Grotheer, Mareike and Caffarra, Sendy and Kiar,
               Gregory and Karipidis, Iliana I and Roy, Ethan and Chandio,
               Bramsh Q and Garyfallidis, Eleftherios and Rokem, Ariel",
  journal   = "Apert Neuro",
  publisher = "Organization for Human Brain Mapping",
  volume    =  1,
  number    =  1,
  month     =  nov,
  year      =  2021,
  doi       =  10.52294/e6198273-b8e3-4b63-babb-6e6b0da10669,
}

Project details


Download files

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

Source Distribution

pyafq-1.3.3.tar.gz (1.5 MB view details)

Uploaded Source

Built Distribution

pyAFQ-1.3.3-py3-none-any.whl (296.2 kB view details)

Uploaded Python 3

File details

Details for the file pyafq-1.3.3.tar.gz.

File metadata

  • Download URL: pyafq-1.3.3.tar.gz
  • Upload date:
  • Size: 1.5 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.9.20

File hashes

Hashes for pyafq-1.3.3.tar.gz
Algorithm Hash digest
SHA256 7c198b47ec6c270b3ee99775cb46cf2e4db6d0dd2e7fedeb141ea8efb1a547ae
MD5 1123d6717a88800bc922b72d923d0805
BLAKE2b-256 07b53360c6038ad79aa23c998445772d7e892ca6eb3e86872c5d6a29ba71b773

See more details on using hashes here.

Provenance

File details

Details for the file pyAFQ-1.3.3-py3-none-any.whl.

File metadata

  • Download URL: pyAFQ-1.3.3-py3-none-any.whl
  • Upload date:
  • Size: 296.2 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.9.20

File hashes

Hashes for pyAFQ-1.3.3-py3-none-any.whl
Algorithm Hash digest
SHA256 1097e6a94c27f0fbb2cfab56afca6297e0414f37e5bbdb996f05fe84abf7f583
MD5 5b07080fb167a9945864a1e51746c871
BLAKE2b-256 9c135e19ffeba505ea78ab0c6cf22aac6536e4591ddf8ef87afe154f0b9bb8d7

See more details on using hashes here.

Provenance

Supported by

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