[ bookworm ]
[ sid ]
[ 原始碼： nipy ]
套件：python3-nipy（0.6.1-1）
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
其他與 python3-nipy 有關的套件
|
|
|
|
-
- dep: python3
- interactive high-level object-oriented language (default python3 version)
-
- dep: python3-nibabel
- Python3 bindings to various neuroimaging data formats
-
- dep: python3-nipy-lib (>= 0.6.1-1)
- Analysis of structural and functional neuroimaging data (compiled modules)
-
- dep: python3-numpy
- Fast array facility to the Python language (Python 3)
-
- dep: python3-scipy
- scientific tools for Python 3
-
- dep: python3-sympy
- Computer Algebra System (CAS) in Python (Python 3)
-
- dep: python3-transforms3d
- code to convert between various geometric transformations
-
- rec: mayavi2
- scientific visualization package for 2-D and 3-D data
-
- rec: python3-matplotlib
- Python based plotting system in a style similar to Matlab
-
- sug: python3-mvpa
- 套件暫時不可用