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Nilearn enables approachable and versatile analyses of brain volumes. It
provides statistical and machine-learning tools, with instructive documentation
& open community.
It supports general linear model (GLM) based analysis and leverages the
scikit-learn Python toolbox for multivariate statistics with applications such
as predictive modelling, classification, decoding, or connectivity analysis.
Nilearn now includes the functionality of Nistats. Here's a guide to replacing
Nistats imports to work in Nilearn.
WWW: http://nilearn.github.io/
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