NLTools
Python toolbox for analyzing neuroimaging data. Compatible with both Python 2.7 and Python 3.6. It is particularly useful for conducting multivariate analyses. It is originally based on Tor Wager's object oriented matlab canlab core tools and relies heavily on nilearn and scikit learn
Installation
-
Method 1
pip install nltools
-
Method 2 (Recommended)
pip install git+https://github.com/ljchang/neurolearn
-
Method 3
git clone https://github.com/ljchang/neurolearn python setup.py install
or
pip install -e 'path_to_github_directory'
Dependencies
nltools requires several dependencies. All are available in pypi. Can use pip install 'package'
- nibabel>=2.0.1
- scikit-learn>=0.19.1
- nilearn>=0.4
- pandas>=0.20
- numpy>=1.9
- seaborn>=0.7.0
- matplotlib>=2.1
- scipy
- six
- pynv
- joblib
Optional Dependencies
- mne
- requests
- networkx
- ipywidgets >=5.2.2
Documentation
Current Documentation can be found at readthedocs.
Please see our tutorials, which provide numerous examples for how to use the toolbox.
Preprocessing
Please see our cosanlab_preproc library for nipype pipelines to perform preprocessing on neuroimaging data.