[ etiona ]
[ Source: nipy ]
Paketti: python-nipy (0.4.2-1)
Links for python-nipy
Trisquel-palvelut:
Imuroi lähdekoodipaketti nipy:
Ylläpitäjä:
Original Maintainers:
- NeuroDebian Team
- Yaroslav Halchenko
- Michael Hanke
External Resources:
- Kotisivu [neuroimaging.scipy.org]
Samankaltaisia paketteja:
Analysis of structural and functional neuroimaging data
NiPy is a Python-based framework for the analysis of structural and functional neuroimaging data. It provides functionality for
- General linear model (GLM) statistical analysis - Combined slice time correction and motion correction - General image registration routines with flexible cost functions, optimizers and re-sampling schemes - Image segmentation - Basic visualization of results in 2D and 3D - Basic time series diagnostics - Clustering and activation pattern analysis across subjects - Reproducibility analysis for group studies
Muut pakettiin python-nipy liittyvät paketit
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- dep: python
- interactive high-level object-oriented language (default version)
- dep: python (<< 2.8)
- dep: python (>= 2.7)
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- dep: python-nibabel
- Python bindings to various neuroimaging data formats
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- dep: python-nipy-lib (>= 0.4.2-1)
- Analysis of structural and functional neuroimaging data
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- dep: python-numpy (>= 1:1.2)
- Numerical Python adds a fast array facility to the Python language
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- dep: python-scipy
- scientific tools for Python
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- rec: mayavi2
- scientific visualization package for 2-D and 3-D data
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- rec: python-matplotlib
- Python based plotting system in a style similar to Matlab
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- rec: python-sympy
- Computer Algebra System (CAS) in Python
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- sug: python-mvpa
- Paketti ei saatavilla
Imuroi python-nipy
Arkkitehtuuri | Paketin koko | Koko asennettuna | Tiedostot |
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all | 757.4 kt | 3547 kt | [tiedostoluettelo] |