Moving Average Principal Component Analysis for fMRI data

Navigation

Verified details

These details have been verified by PyPI
Maintainers
Avatar for eurunuela from gravatar.com eurunuela Avatar for handwerkerd from gravatar.com handwerkerd Avatar for notzaki from gravatar.com notzaki Avatar for tsalo from gravatar.com tsalo

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: GNU Library or Lesser General Public License (LGPL) (GNU GENERAL PUBLIC LICENSE)
  • Author: mapca developers
  • Requires: Python >=3.8
  • Provides-Extra: all , dev , doc , tests
Classifiers
Report project as malware

Project description

mapca

A Python implementation of the moving average principal components analysis methods from GIFT

Latest Version PyPI - Python Version License CircleCI Codecov Average time to resolve an issue Percentage of issues still open Join the chat at https://gitter.im/ME-ICA/mapca

About

mapca is a Python package that performs dimensionality reduction with principal component analysis (PCA) on functional magnetic resonance imaging (fMRI) data. It is a translation to Python of the dimensionality reduction technique used in the MATLAB-based GIFT package and introduced by Li et al. 20071.

  1. Li, Y. O., Adali, T., & Calhoun, V. D. (2007). Estimating the number of independent components for functional magnetic resonance imaging data. Human Brain Mapping, 28(11), 1251–1266. https://doi.org/10.1002/hbm.20359 ↩

Project details

Verified details

These details have been verified by PyPI
Maintainers
Avatar for eurunuela from gravatar.com eurunuela Avatar for handwerkerd from gravatar.com handwerkerd Avatar for notzaki from gravatar.com notzaki Avatar for tsalo from gravatar.com tsalo

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: GNU Library or Lesser General Public License (LGPL) (GNU GENERAL PUBLIC LICENSE)
  • Author: mapca developers
  • Requires: Python >=3.8
  • Provides-Extra: all , dev , doc , tests
Classifiers

Release history Release notifications | RSS feed

This version

0.0.8

0.0.7

0.0.6

0.0.5

0.0.4

0.0.3

0.0.2

0.0.1

0.0.1rc0 pre-release

Download files

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

Source Distribution

mapca-0.0.8.tar.gz (28.1 kB view details)

Uploaded Source

Built Distribution

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

mapca-0.0.8-py3-none-any.whl (31.6 kB view details)

Uploaded Python 3

File details

Details for the file mapca-0.0.8.tar.gz.

File metadata

  • Download URL: mapca-0.0.8.tar.gz
  • Upload date:
  • Size: 28.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.8.18

File hashes

Hashes for mapca-0.0.8.tar.gz
Algorithm Hash digest
SHA256 2540fc519f467f75f1bde73a5cfd8c36c51f7abe29c875babc7dcd3456ca8f0a
MD5 f5e33af395069dc3431a8e0ee6eef711
BLAKE2b-256 4751b79a2059ba2b6a7cdcd2fbc385081ee36b62f5acd23ed500d17e7d23d97b

See more details on using hashes here.

File details

Details for the file mapca-0.0.8-py3-none-any.whl.

File metadata

  • Download URL: mapca-0.0.8-py3-none-any.whl
  • Upload date:
  • Size: 31.6 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.8.18

File hashes

Hashes for mapca-0.0.8-py3-none-any.whl
Algorithm Hash digest
SHA256 8b6c2c6c12fb76bbd05e0671b2cd2acc81d3f72c451397ae96a23268775d18dc
MD5 f3169662d0ced92fbc9d781810d45c04
BLAKE2b-256 dd609bd2fa8e72d592c7b24c64eac1c6743a412921054895936a7636961af493

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