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docs/source/overview/ovw_frites.rst

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As other Python packages, Frites contains subject-specific submodules. Here's a short description of the main submodules for new users :
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* :py:mod:`frites.dataset`: : container for the electrophysiological data coming from multiple subjects (see also `those examples <https://brainets.github.io/frites/auto_examples/index.html#multi-subjects-dataset>`_ that explain how to define a container depending on your data type)
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* :py:mod:`frites.dataset`: : container for the electrophysiological data coming from multiple subjects (see also `examples <https://brainets.github.io/frites/auto_examples/index.html#multi-subjects-dataset>`_ that explain how to define a container depending on your data type)
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* :py:mod:`frites.workflow`: the workflows perform a series of analyzes (usually a first analysis to extract information using IT measures follow by a second statistical analysis)
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* :py:mod:`frites.conn`: : directed and undirected connectivity metrics that can either be computed across trials or at the single trial level
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