{"id":533,"date":"2017-06-19T15:36:07","date_gmt":"2017-06-19T20:36:07","guid":{"rendered":"http:\/\/blogs.discovery.wisc.edu\/sysbiojournalclub\/?p=533"},"modified":"2017-06-19T15:36:07","modified_gmt":"2017-06-19T20:36:07","slug":"visualization-and-analysis-of-single-cell-rna-seq-data-by-kernel-based-similarity-learning","status":"publish","type":"post","link":"https:\/\/blogs.discovery.wisc.edu\/sysbiojournalclub\/2017\/06\/19\/visualization-and-analysis-of-single-cell-rna-seq-data-by-kernel-based-similarity-learning\/","title":{"rendered":"Visualization and analysis of single-cell RNA-seq data by kernel-based similarity learning"},"content":{"rendered":"<p>Our next meeting will be at 3:00 on June<span class=\"docs-sheet-tab-name\" dir=\"ltr\">\u00a023th<\/span>, in room 4160 of the Discovery building. Our Selected paper is <a href=\"http:\/\/www.nature.com\/nmeth\/journal\/v14\/n4\/full\/nmeth.4207.html\">Visualization and analysis of single-cell RNA-seq data by kernel-based similarity learning<\/a>.<br \/>\nThe abstract is as follows.<\/p>\n<blockquote><p>We present single-cell interpretation via multikernel learning (SIMLR), an analytic framework and software which learns a similarity measure from single-cell RNA-seq data in order to perform dimension reduction, clustering and visualization. On seven published data sets, we benchmark SIMLR against state-of-the-art methods. We show that SIMLR is scalable and greatly enhances clustering performance while improving the visualization and interpretability of single-cell sequencing data.<\/p><\/blockquote>\n<p>We welcome all who can join us for this discussion. Feel free to begin that discussion in the comments section below.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Our next meeting will be at 3:00 on June\u00a023th, in room 4160 of the Discovery building. Our Selected paper is Visualization and analysis of single-cell RNA-seq data by kernel-based similarity learning. The abstract is as follows. We present single-cell interpretation via multikernel learning (SIMLR), an analytic framework and software which learns a similarity measure from [&hellip;]<\/p>\n","protected":false},"author":197,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":[],"categories":[1],"tags":[],"_links":{"self":[{"href":"https:\/\/blogs.discovery.wisc.edu\/sysbiojournalclub\/wp-json\/wp\/v2\/posts\/533"}],"collection":[{"href":"https:\/\/blogs.discovery.wisc.edu\/sysbiojournalclub\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/blogs.discovery.wisc.edu\/sysbiojournalclub\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/blogs.discovery.wisc.edu\/sysbiojournalclub\/wp-json\/wp\/v2\/users\/197"}],"replies":[{"embeddable":true,"href":"https:\/\/blogs.discovery.wisc.edu\/sysbiojournalclub\/wp-json\/wp\/v2\/comments?post=533"}],"version-history":[{"count":1,"href":"https:\/\/blogs.discovery.wisc.edu\/sysbiojournalclub\/wp-json\/wp\/v2\/posts\/533\/revisions"}],"predecessor-version":[{"id":534,"href":"https:\/\/blogs.discovery.wisc.edu\/sysbiojournalclub\/wp-json\/wp\/v2\/posts\/533\/revisions\/534"}],"wp:attachment":[{"href":"https:\/\/blogs.discovery.wisc.edu\/sysbiojournalclub\/wp-json\/wp\/v2\/media?parent=533"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/blogs.discovery.wisc.edu\/sysbiojournalclub\/wp-json\/wp\/v2\/categories?post=533"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/blogs.discovery.wisc.edu\/sysbiojournalclub\/wp-json\/wp\/v2\/tags?post=533"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}