<?xml version="1.0"?>
<feed xmlns="http://www.w3.org/2005/Atom" xml:lang="en">
	<id>https://3demmethods.i2pc.es/index.php?action=history&amp;feed=atom&amp;title=2020Lederman_representation</id>
	<title>2020Lederman representation - Revision history</title>
	<link rel="self" type="application/atom+xml" href="https://3demmethods.i2pc.es/index.php?action=history&amp;feed=atom&amp;title=2020Lederman_representation"/>
	<link rel="alternate" type="text/html" href="https://3demmethods.i2pc.es/index.php?title=2020Lederman_representation&amp;action=history"/>
	<updated>2026-05-24T20:15:41Z</updated>
	<subtitle>Revision history for this page on the wiki</subtitle>
	<generator>MediaWiki 1.44.2</generator>
	<entry>
		<id>https://3demmethods.i2pc.es/index.php?title=2020Lederman_representation&amp;diff=3808&amp;oldid=prev</id>
		<title>WikiSysop: Created page with &quot;== Citation ==  Lederman, R. R.; Singer, A. A representation theory perspective on simultaneous alignment and classification. Applied and Computational Harmonic Analysis, 2020...&quot;</title>
		<link rel="alternate" type="text/html" href="https://3demmethods.i2pc.es/index.php?title=2020Lederman_representation&amp;diff=3808&amp;oldid=prev"/>
		<updated>2020-08-19T09:11:31Z</updated>

		<summary type="html">&lt;p&gt;Created page with &amp;quot;== Citation ==  Lederman, R. R.; Singer, A. A representation theory perspective on simultaneous alignment and classification. Applied and Computational Harmonic Analysis, 2020...&amp;quot;&lt;/p&gt;
&lt;p&gt;&lt;b&gt;New page&lt;/b&gt;&lt;/p&gt;&lt;div&gt;== Citation ==&lt;br /&gt;
&lt;br /&gt;
Lederman, R. R.; Singer, A. A representation theory perspective on simultaneous alignment and classification. Applied and Computational Harmonic Analysis, 2020, 49, 1001-1024 &lt;br /&gt;
&lt;br /&gt;
== Abstract ==&lt;br /&gt;
&lt;br /&gt;
Single particle cryo-electron microscopy (EM) is a method for determining the 3-D structure of macromolecules from many noisy 2-D projection images of individual macromolecules whose orientations and positions are random and unknown. The problem of orientation assignment for the images motivated work on multireference alignment. The recent non-unique games framework provides a representation theoretic approach to alignment over compact groups, and offers a convex relaxation with certificates of global optimality in some cases. One of the great opportunities in cryo-EM is studying heterogeneous samples, containing two or more distinct conformations of molecules. Taking advantage of this opportunity presents an algorithmic challenge: determining both the class and orientation of each particle. We generalize multireference alignment to a problem of alignment and classification, and propose to extend non-unique games to the problem of simultaneous alignment and classification with the goal of simultaneously classifying cryo-EM images and aligning them within their classes. &lt;br /&gt;
&lt;br /&gt;
== Keywords ==&lt;br /&gt;
&lt;br /&gt;
== Links ==&lt;br /&gt;
&lt;br /&gt;
https://www.sciencedirect.com/science/article/pii/S1063520319301034&lt;br /&gt;
&lt;br /&gt;
== Related software ==&lt;br /&gt;
&lt;br /&gt;
== Related methods ==&lt;br /&gt;
&lt;br /&gt;
== Comments ==&lt;/div&gt;</summary>
		<author><name>WikiSysop</name></author>
	</entry>
</feed>