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
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
pyafq-1.3.3.tar.gz
(1.5 MB
view details)
Built Distribution
pyAFQ-1.3.3-py3-none-any.whl
(296.2 kB
view details)
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
Algorithm | Hash digest | |
---|---|---|
SHA256 | 7c198b47ec6c270b3ee99775cb46cf2e4db6d0dd2e7fedeb141ea8efb1a547ae |
|
MD5 | 1123d6717a88800bc922b72d923d0805 |
|
BLAKE2b-256 | 07b53360c6038ad79aa23c998445772d7e892ca6eb3e86872c5d6a29ba71b773 |
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
Algorithm | Hash digest | |
---|---|---|
SHA256 | 1097e6a94c27f0fbb2cfab56afca6297e0414f37e5bbdb996f05fe84abf7f583 |
|
MD5 | 5b07080fb167a9945864a1e51746c871 |
|
BLAKE2b-256 | 9c135e19ffeba505ea78ab0c6cf22aac6536e4591ddf8ef87afe154f0b9bb8d7 |