mapca
A Python implementation of the moving average principal components analysis methods from GIFT
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.
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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 ↩
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Release files for mapca 0.0.8
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| mapca-0.0.8.tar.gz | 28.1 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| mapca-0.0.8-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 59.6 kB
Release files / mapca-0.0.8.tar.gz
| Download URL | mapca-0.0.8.tar.gz |
|---|---|
| Size | 28.1 kB |
| Tags | Source |
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Release files / mapca-0.0.8-py3-none-any.whl
| Download URL | mapca-0.0.8-py3-none-any.whl |
|---|---|
| Size | 31.6 kB |
| Tags | Python 3 |
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