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</style><div class="section" id="advanced-usage-manual-pipelines-and-scaling-up">
<span id="building-blocks"></span><h1><span class="section-number">7. </span>Advanced usage: manual pipelines and scaling up<a class="headerlink" href="#advanced-usage-manual-pipelines-and-scaling-up" title="Permalink to this headline">¶</a></h1>
<p>In this section of the nilearn documentation, we describe the building
blocks that can be assembled to create a machine-learning data analysis
pipeline. This section is slightly more advanced and abstract than the
other. It provides knowledge that is useful to go off the beaten path in
terms of data processing.</p>
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<li class="toctree-l1"><a class="reference internal" href="manual_pipeline.html">7.1. Building your own neuroimaging machine-learning pipeline</a><ul>
<li class="toctree-l2"><a class="reference internal" href="manual_pipeline.html#data-loading-and-preprocessing">7.1.1. Data loading and preprocessing</a><ul>
<li class="toctree-l3"><a class="reference internal" href="manual_pipeline.html#downloading-the-data">7.1.1.1. Downloading the data</a></li>
<li class="toctree-l3"><a class="reference internal" href="manual_pipeline.html#loading-non-image-data-experiment-description">7.1.1.2. Loading non image data: experiment description</a></li>
<li class="toctree-l3"><a class="reference internal" href="manual_pipeline.html#masking-the-data-from-4d-image-to-2d-array">7.1.1.3. Masking the data: from 4D image to 2D array</a><ul>
<li class="toctree-l4"><a class="reference internal" href="manual_pipeline.html#applying-a-mask">7.1.1.3.1. Applying a mask</a></li>
<li class="toctree-l4"><a class="reference internal" href="manual_pipeline.html#automatically-computing-a-mask">7.1.1.3.2. Automatically computing a mask</a></li>
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<li class="toctree-l2"><a class="reference internal" href="manual_pipeline.html#unmasking-inverse-transform">7.1.3. Unmasking (inverse_transform)</a></li>
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<li class="toctree-l1"><a class="reference internal" href="neurovault.html">7.2. Downloading statistical maps from the Neurovault repository</a><ul>
<li class="toctree-l2"><a class="reference internal" href="neurovault.html#specific-images-or-collections">7.2.1. Specific images or collections</a></li>
<li class="toctree-l2"><a class="reference internal" href="neurovault.html#selection-filters">7.2.2. Selection filters</a></li>
<li class="toctree-l2"><a class="reference internal" href="neurovault.html#output">7.2.3. Output</a></li>
<li class="toctree-l2"><a class="reference internal" href="neurovault.html#neurosynth-annotations">7.2.4. Neurosynth annotations</a></li>
<li class="toctree-l2"><a class="reference internal" href="neurovault.html#examples-using-neurovault">7.2.5. Examples using Neurovault</a></li>
<li class="toctree-l2"><a class="reference internal" href="neurovault.html#references">7.2.6. References</a></li>
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