{"id":518,"date":"2017-05-23T11:18:32","date_gmt":"2017-05-23T16:18:32","guid":{"rendered":"http:\/\/blogs.discovery.wisc.edu\/sysbiojournalclub\/?p=518"},"modified":"2017-05-23T11:25:54","modified_gmt":"2017-05-23T16:25:54","slug":"selecting-the-most-appropriate-time-points-to-profile-in-high-throughpsut-studies","status":"publish","type":"post","link":"https:\/\/blogs.discovery.wisc.edu\/sysbiojournalclub\/2017\/05\/23\/selecting-the-most-appropriate-time-points-to-profile-in-high-throughpsut-studies\/","title":{"rendered":"Selecting the most appropriate time points to profile in high-throughpsut studies"},"content":{"rendered":"<p>Our next meeting will be at 3:00 on May<span class=\"docs-sheet-tab-name\" dir=\"ltr\">\u00a026th<\/span>, in room 4160 of the Discovery building. Our Selected paper is <a href=\"https:\/\/elifesciences.org\/content\/6\/e18541\">Selecting the most appropriate time points to profile in high-throughpsut studies<\/a>.<br \/>\nThe abstract is as follows.<\/p>\n<blockquote><p>Biological systems are increasingly being studied by high throughput profiling of molecular data over time. Determining the set of time points to sample in studies that profile several different types of molecular data is still challenging. Here we present the Time Point Selection (<em>TPS<\/em>) method that solves this combinatorial problem in a principled and practical way. <em>TPS<\/em> utilizes expression data from a small set of genes sampled at a high rate. As we show by applying <em>TPS<\/em> to study mouse lung development, the points selected by <em>TPS<\/em> can be used to reconstruct an accurate representation for the expression values of the non selected points. Further, even though the selection is only based on gene expression, these points are also appropriate for representing a much larger set of protein, miRNA and DNA methylation changes over time. TPS can thus serve as a key design strategy for high throughput time series experiments.<\/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 May\u00a026th, in room 4160 of the Discovery building. Our Selected paper is Selecting the most appropriate time points to profile in high-throughpsut studies. The abstract is as follows. Biological systems are increasingly being studied by high throughput profiling of molecular data over time. Determining the set of [&hellip;]<\/p>\n","protected":false},"author":197,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":[],"categories":[132],"tags":[],"_links":{"self":[{"href":"https:\/\/blogs.discovery.wisc.edu\/sysbiojournalclub\/wp-json\/wp\/v2\/posts\/518"}],"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=518"}],"version-history":[{"count":1,"href":"https:\/\/blogs.discovery.wisc.edu\/sysbiojournalclub\/wp-json\/wp\/v2\/posts\/518\/revisions"}],"predecessor-version":[{"id":519,"href":"https:\/\/blogs.discovery.wisc.edu\/sysbiojournalclub\/wp-json\/wp\/v2\/posts\/518\/revisions\/519"}],"wp:attachment":[{"href":"https:\/\/blogs.discovery.wisc.edu\/sysbiojournalclub\/wp-json\/wp\/v2\/media?parent=518"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/blogs.discovery.wisc.edu\/sysbiojournalclub\/wp-json\/wp\/v2\/categories?post=518"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/blogs.discovery.wisc.edu\/sysbiojournalclub\/wp-json\/wp\/v2\/tags?post=518"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}