{"id":876,"date":"2018-08-27T13:02:19","date_gmt":"2018-08-27T13:02:19","guid":{"rendered":"http:\/\/csbweb.csb.pitt.edu\/Faculty\/benos\/?p=876"},"modified":"2019-03-01T03:29:14","modified_gmt":"2019-03-01T03:29:14","slug":"congratulations-to-aj-and-the-team-for-the-causalmgm-bioinformatics-paper","status":"publish","type":"post","link":"https:\/\/csbweb.csb.pitt.edu\/Faculty\/benos\/?p=876","title":{"rendered":"Congratulations to AJ and the team for the CausalMGM Bioinformatics paper"},"content":{"rendered":"<p><a href=\"https:\/\/csbweb.csb.pitt.edu\/Faculty\/benos\/wp-content\/uploads\/2018\/08\/Fig1.jpg\"><img loading=\"lazy\" decoding=\"async\" class=\"size-medium wp-image-886 alignleft\" src=\"https:\/\/csbweb.csb.pitt.edu\/Faculty\/benos\/wp-content\/uploads\/2018\/08\/Fig1-300x152.jpg\" alt=\"\" width=\"300\" height=\"152\" srcset=\"https:\/\/csbweb.csb.pitt.edu\/Faculty\/benos\/wp-content\/uploads\/2018\/08\/Fig1-300x152.jpg 300w, https:\/\/csbweb.csb.pitt.edu\/Faculty\/benos\/wp-content\/uploads\/2018\/08\/Fig1-768x389.jpg 768w, https:\/\/csbweb.csb.pitt.edu\/Faculty\/benos\/wp-content\/uploads\/2018\/08\/Fig1-1024x518.jpg 1024w, https:\/\/csbweb.csb.pitt.edu\/Faculty\/benos\/wp-content\/uploads\/2018\/08\/Fig1-250x127.jpg 250w, https:\/\/csbweb.csb.pitt.edu\/Faculty\/benos\/wp-content\/uploads\/2018\/08\/Fig1-150x76.jpg 150w\" sizes=\"auto, (max-width: 300px) 100vw, 300px\" \/><\/a><\/p>\n<p><a href=\"https:\/\/csbweb.csb.pitt.edu\/Faculty\/benos\/wp-content\/uploads\/2015\/01\/AndrewSedgewick100X139.jpg\"><img loading=\"lazy\" decoding=\"async\" class=\"alignright wp-image-407 size-full\" src=\"https:\/\/csbweb.csb.pitt.edu\/Faculty\/benos\/wp-content\/uploads\/2015\/01\/AndrewSedgewick100X139.jpg\" alt=\"\" width=\"100\" height=\"140\" \/><\/a><br \/>\nAJ has another paper accepted for publication! \u00a0This time in the journal <strong><em>Bioinformatics<\/em><\/strong>. \u00a0This paper presents the <span style=\"text-decoration: underline;\"><em>CausalMGM<\/em><\/span> method for learning directed graphs over mixed data types (continuous and discrete variables). \u00a0The method is validated in both simulated and real data from patients. \u00a0<strong>Congratulations<\/strong> to\u00a0AJ and to the whole team, who helped improve and complete this study.<\/p>\n<p>UPDATE 2018-09-05: The paper is now available from the\u00a0<em>Bioinformatics\u00a0<\/em>web site (<a href=\"https:\/\/academic.oup.com\/bioinformatics\/advance-article\/doi\/10.1093\/bioinformatics\/bty769\/5091182\" target=\"_blank\" rel=\"noopener\">here<\/a>). <\/p>\n","protected":false},"excerpt":{"rendered":"<p>AJ has another paper accepted for publication! \u00a0This time in the journal Bioinformatics. \u00a0This paper presents the CausalMGM method for learning directed graphs over mixed data types (continuous and discrete variables). \u00a0The method is validated in both simulated and real data from patients. \u00a0Congratulations to\u00a0AJ and to the whole team, &#8230;<\/p>\n<p> <a class=\"continue-reading-link\" href=\"https:\/\/csbweb.csb.pitt.edu\/Faculty\/benos\/?p=876\"><span>Continue reading<\/span><i class=\"crycon-right-dir\"><\/i><\/a> <\/p>\n","protected":false},"author":3,"featured_media":877,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[3],"tags":[],"class_list":["post-876","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\/876","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=876"}],"version-history":[{"count":9,"href":"https:\/\/csbweb.csb.pitt.edu\/Faculty\/benos\/index.php?rest_route=\/wp\/v2\/posts\/876\/revisions"}],"predecessor-version":[{"id":1303,"href":"https:\/\/csbweb.csb.pitt.edu\/Faculty\/benos\/index.php?rest_route=\/wp\/v2\/posts\/876\/revisions\/1303"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/csbweb.csb.pitt.edu\/Faculty\/benos\/index.php?rest_route=\/wp\/v2\/media\/877"}],"wp:attachment":[{"href":"https:\/\/csbweb.csb.pitt.edu\/Faculty\/benos\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=876"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/csbweb.csb.pitt.edu\/Faculty\/benos\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=876"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/csbweb.csb.pitt.edu\/Faculty\/benos\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=876"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}