{"id":118,"date":"2016-12-02T15:15:43","date_gmt":"2016-12-02T15:15:43","guid":{"rendered":"http:\/\/www.cardiomaths.net\/?page_id=118"},"modified":"2017-05-14T14:18:02","modified_gmt":"2017-05-14T13:18:02","slug":"mathematical-methods","status":"publish","type":"page","link":"http:\/\/www.cardiomaths.net\/index.php\/research\/mathematical-methods\/","title":{"rendered":"Mathematical methods"},"content":{"rendered":"<h3><img loading=\"lazy\" class=\"wp-image-122 alignright\" src=\"http:\/\/www.cardiomaths.net\/wp-content\/uploads\/schematic3bIMA.jpg\" alt=\"schematic3bima\" width=\"326\" height=\"237\" \/>Asymptotic techniques<\/h3>\n<p>Complex networks of interactions occur again and again in biological systems.\u00a0\u00a0 Asymptotic techniques provide us with a systematic method of exploiting the wide range of time scales that these networks often operate over. They enable us to break networks down into subsets of reactions that dominate at particular points in time.<\/p>\n<p style=\"padding-left: 30px;\"><a href=\"https:\/\/academic.oup.com\/imamat\/article-abstract\/82\/1\/60\/2884401\/Mathematical-modelling-of-thrombin-generation?redirectedFrom=PDF\">Dunster and King, (2016). Mathematical modelling of thrombin generation: asymptotic analysis and pathway characterization. <i>IMA Journal of Applied Mathematics<\/i><\/a><\/p>\n<p style=\"padding-left: 30px;\"><a href=\"http:\/\/personal.maths.surrey.ac.uk\/st\/G.Derks\/Publications\/MMB_hppd.pdf\">Ward, Dunster, Derks, Mistry and Salazar, (2016). Predicting tyrosinaemia: a mathematical model of 4-hydroxyphenylpyruvate dioxygenase inhibition by nitisinone in rats. <i>Mathematical Medicine and Biology<\/i>.<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Asymptotic techniques Complex networks of interactions occur again and again in biological systems.\u00a0\u00a0 Asymptotic techniques provide us with a systematic method of exploiting the wide range of time scales that these networks often operate over. They enable us to break networks down into subsets of reactions that dominate at particular points in time. Dunster and [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":13,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"page-templates\/full-width.php","meta":[],"_links":{"self":[{"href":"http:\/\/www.cardiomaths.net\/index.php\/wp-json\/wp\/v2\/pages\/118"}],"collection":[{"href":"http:\/\/www.cardiomaths.net\/index.php\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"http:\/\/www.cardiomaths.net\/index.php\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"http:\/\/www.cardiomaths.net\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"http:\/\/www.cardiomaths.net\/index.php\/wp-json\/wp\/v2\/comments?post=118"}],"version-history":[{"count":11,"href":"http:\/\/www.cardiomaths.net\/index.php\/wp-json\/wp\/v2\/pages\/118\/revisions"}],"predecessor-version":[{"id":158,"href":"http:\/\/www.cardiomaths.net\/index.php\/wp-json\/wp\/v2\/pages\/118\/revisions\/158"}],"up":[{"embeddable":true,"href":"http:\/\/www.cardiomaths.net\/index.php\/wp-json\/wp\/v2\/pages\/13"}],"wp:attachment":[{"href":"http:\/\/www.cardiomaths.net\/index.php\/wp-json\/wp\/v2\/media?parent=118"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}