.. DO NOT EDIT. .. THIS FILE WAS AUTOMATICALLY GENERATED BY SPHINX-GALLERY. .. TO MAKE CHANGES, EDIT THE SOURCE PYTHON FILE: .. "auto_examples/norun_ukbvm_gmd.py" .. LINE NUMBERS ARE GIVEN BELOW. .. only:: html .. note:: :class: sphx-glr-download-link-note :ref:`Go to the end ` to download the full example code. .. rst-class:: sphx-glr-example-title .. _sphx_glr_auto_examples_norun_ukbvm_gmd.py: UKB VBM GMD Extraction ====================== Authors: Federico Raimondo License: BSD 3 clause .. GENERATED FROM PYTHON SOURCE LINES 9-44 .. code-block:: Python from junifer.api import run markers = [ { "name": "Schaefer1000x7_TrimMean80", "kind": "ParcelAggregation", "parcellation": "Schaefer1000x7", "method": "trim_mean", "method_params": {"proportiontocut": 0.2}, }, { "name": "Schaefer1000x7_Mean", "kind": "ParcelAggregation", "parcellation": "Schaefer1000x7", "method": "mean", }, { "name": "Schaefer1000x7_Std", "kind": "ParcelAggregation", "parcellation": "Schaefer1000x7", "method": "std", }, ] run( workdir="/tmp", datagrabber="JuselessUKBVBM", elements=("sub-1627474", "ses-2"), markers=markers, storage="SQLDataFrameStorage", storage_params={"outpath": "/data/project/juniferexample"}, ) .. _sphx_glr_download_auto_examples_norun_ukbvm_gmd.py: .. only:: html .. container:: sphx-glr-footer sphx-glr-footer-example .. container:: sphx-glr-download sphx-glr-download-jupyter :download:`Download Jupyter notebook: norun_ukbvm_gmd.ipynb ` .. container:: sphx-glr-download sphx-glr-download-python :download:`Download Python source code: norun_ukbvm_gmd.py ` .. only:: html .. rst-class:: sphx-glr-signature `Gallery generated by Sphinx-Gallery `_