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<oembed><html>&lt;iframe width="480" height="270" src="https://www.youtube.com/embed/videoseries?list=PLlMMtlgw6qNjROoMNTBQjAcdx53kV50cS" frameborder="0" allowfullscreen&gt;&lt;/iframe&gt;</html><thumbnail_url>https://i.ytimg.com/vi/zGPPd-qbP3I/hqdefault.jpg</thumbnail_url><height>270</height><author_name>Broad Institute</author_name><thumbnail_width>480</thumbnail_width><type>video</type><version>1.0</version><thumbnail_height>360</thumbnail_height><provider_url>https://www.youtube.com/</provider_url><provider_name>YouTube</provider_name><width>480</width><title>MIA: Mertash Babadi, A scalable, Bayesian model for copy number variation; Samuel Lee, Bayesian PCA</title><author_url>https://www.youtube.com/user/broadinstitute</author_url></oembed>