{"id":2350,"date":"2022-02-15T22:17:52","date_gmt":"2022-02-15T22:17:52","guid":{"rendered":"https:\/\/csbweb.csb.pitt.edu\/Faculty\/benos\/?p=2350"},"modified":"2024-01-26T21:16:13","modified_gmt":"2024-01-26T21:16:13","slug":"ty-ler-publishes-a-first-author-paper-in-patterns","status":"publish","type":"post","link":"https:\/\/csbweb.csb.pitt.edu\/Faculty\/benos\/?p=2350","title":{"rendered":"Tyler publishes a first author paper in Patterns"},"content":{"rendered":"<p><a href=\"https:\/\/csbweb.csb.pitt.edu\/Faculty\/benos\/wp-content\/uploads\/2015\/01\/TylerLovelace100x140.jpg\"><img loading=\"lazy\" decoding=\"async\" class=\"wp-image-1059 size-full alignright\" src=\"https:\/\/csbweb.csb.pitt.edu\/Faculty\/benos\/wp-content\/uploads\/2015\/01\/TylerLovelace100x140.jpg\" alt=\"\" width=\"100\" height=\"140\" \/><\/a>Congratulations to Tyler for the acceptance by\u00a0<em>Patterns\u00a0<\/em>of the paper &#8220;<em>Essential Regression &#8211; a generalizable framework for inferring causal latent factors from multi-omic datasets<\/em>&#8220;, which he is first co-author. The paper describes a new method to develop predictive causal models in high-dimensional, highly collinear data.<\/p>\n<p>A pre-print of this paper can be found here. [<a href=\"https:\/\/www.biorxiv.org\/content\/10.1101\/2021.05.03.442513v2\" target=\"_blank\" rel=\"noopener\">bioRxiv<\/a>]\n<p>Congratulations Tyler!<\/p>\n[2022-03-24] The article became available in the journal&#8217;s website. [<a href=\"https:\/\/www.cell.com\/patterns\/fulltext\/S2666-3899(22)00053-8?fbclid=IwAR39dI0k7bZjjZneE_Em_kCIH8pXfAt7ekHpMo3ldICMv7XAeRHgEGiF37g\" target=\"_blank\" rel=\"noopener\">here<\/a>]\n<p><a href=\"https:\/\/csbweb.csb.pitt.edu\/Faculty\/benos\/wp-content\/uploads\/2022\/02\/CausER_Fig1.png\"><img loading=\"lazy\" decoding=\"async\" class=\"wp-image-2352 aligncenter\" src=\"https:\/\/csbweb.csb.pitt.edu\/Faculty\/benos\/wp-content\/uploads\/2022\/02\/CausER_Fig1-300x91.png\" alt=\"\" width=\"432\" height=\"131\" srcset=\"https:\/\/csbweb.csb.pitt.edu\/Faculty\/benos\/wp-content\/uploads\/2022\/02\/CausER_Fig1-300x91.png 300w, https:\/\/csbweb.csb.pitt.edu\/Faculty\/benos\/wp-content\/uploads\/2022\/02\/CausER_Fig1-768x232.png 768w, https:\/\/csbweb.csb.pitt.edu\/Faculty\/benos\/wp-content\/uploads\/2022\/02\/CausER_Fig1-1024x310.png 1024w, https:\/\/csbweb.csb.pitt.edu\/Faculty\/benos\/wp-content\/uploads\/2022\/02\/CausER_Fig1-250x76.png 250w, https:\/\/csbweb.csb.pitt.edu\/Faculty\/benos\/wp-content\/uploads\/2022\/02\/CausER_Fig1-150x45.png 150w, https:\/\/csbweb.csb.pitt.edu\/Faculty\/benos\/wp-content\/uploads\/2022\/02\/CausER_Fig1-1920x580.png 1920w\" sizes=\"auto, (max-width: 432px) 100vw, 432px\" \/><\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Congratulations to Tyler for the acceptance by\u00a0Patterns\u00a0of the paper &#8220;Essential Regression &#8211; a generalizable framework for inferring causal latent factors from multi-omic datasets&#8220;, which he is first co-author. The paper describes a new method to develop predictive causal models in high-dimensional, highly collinear data. A pre-print of this paper can &#8230;<\/p>\n<p> <a class=\"continue-reading-link\" href=\"https:\/\/csbweb.csb.pitt.edu\/Faculty\/benos\/?p=2350\"><span>Continue reading<\/span><i class=\"crycon-right-dir\"><\/i><\/a> <\/p>\n","protected":false},"author":3,"featured_media":2352,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[3],"tags":[],"class_list":["post-2350","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-news"],"_links":{"self":[{"href":"https:\/\/csbweb.csb.pitt.edu\/Faculty\/benos\/index.php?rest_route=\/wp\/v2\/posts\/2350","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/csbweb.csb.pitt.edu\/Faculty\/benos\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/csbweb.csb.pitt.edu\/Faculty\/benos\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/csbweb.csb.pitt.edu\/Faculty\/benos\/index.php?rest_route=\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/csbweb.csb.pitt.edu\/Faculty\/benos\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=2350"}],"version-history":[{"count":5,"href":"https:\/\/csbweb.csb.pitt.edu\/Faculty\/benos\/index.php?rest_route=\/wp\/v2\/posts\/2350\/revisions"}],"predecessor-version":[{"id":2517,"href":"https:\/\/csbweb.csb.pitt.edu\/Faculty\/benos\/index.php?rest_route=\/wp\/v2\/posts\/2350\/revisions\/2517"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/csbweb.csb.pitt.edu\/Faculty\/benos\/index.php?rest_route=\/wp\/v2\/media\/2352"}],"wp:attachment":[{"href":"https:\/\/csbweb.csb.pitt.edu\/Faculty\/benos\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=2350"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/csbweb.csb.pitt.edu\/Faculty\/benos\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=2350"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/csbweb.csb.pitt.edu\/Faculty\/benos\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=2350"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}