{"id":3570,"date":"2022-07-07T11:53:26","date_gmt":"2022-07-07T15:53:26","guid":{"rendered":"https:\/\/health.uconn.edu\/cell-analysis-modeling\/2022\/07\/07\/new-publication-of-the-vera-licona-lab-3-2\/"},"modified":"2022-07-07T11:53:26","modified_gmt":"2022-07-07T15:53:26","slug":"new-publication-of-the-vera-licona-lab-3-2","status":"publish","type":"post","link":"https:\/\/health.uconn.edu\/cell-analysis-modeling\/2022\/07\/07\/new-publication-of-the-vera-licona-lab-3-2\/","title":{"rendered":"New publication of the Vera-Licona Lab"},"content":{"rendered":"<p>06-20-22 Congratulations to Dr. Paola Vera-Licona and Lauren Marazzi who recently published a paper in npj Systems Biology and Applications on <a href=\"https:\/\/www.nature.com\/articles\/s41540-022-00231-y\">NETISCE: a network-based tool for cell fate reprogramming<\/a>. In this paper, they introduce NETISCE, a novel computational tool for identifying cell fate reprogramming targets in static networks. In combination with machine learning algorithms, NETISCE estimates the attractor landscape and predicts reprogramming targets using Signal Flow Analysis and Feedback Vertex Set Control, respectively. <\/p>\n<p>\n<a href=\"https:\/\/health.uconn.edu\/cell-analysis-modeling\/wp-content\/uploads\/sites\/149\/2022\/07\/vera-licona.png\"><img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/health.uconn.edu\/cell-analysis-modeling\/wp-content\/uploads\/sites\/149\/2022\/07\/vera-licona-300x156.png\" alt=\"\" width=\"300\" height=\"156\" class=\"alignnone size-medium wp-image-3546\" srcset=\"https:\/\/health.uconn.edu\/cell-analysis-modeling\/wp-content\/uploads\/sites\/149\/2022\/07\/vera-licona-300x156.png 300w, https:\/\/health.uconn.edu\/cell-analysis-modeling\/wp-content\/uploads\/sites\/149\/2022\/07\/vera-licona-1024x533.png 1024w, https:\/\/health.uconn.edu\/cell-analysis-modeling\/wp-content\/uploads\/sites\/149\/2022\/07\/vera-licona-768x400.png 768w, https:\/\/health.uconn.edu\/cell-analysis-modeling\/wp-content\/uploads\/sites\/149\/2022\/07\/vera-licona.png 1430w\" sizes=\"(max-width: 300px) 100vw, 300px\" \/><\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>06-20-22 Congratulations to Dr. Paola Vera-Licona and Lauren Marazzi who recently published a paper in npj Systems Biology and Applications on NETISCE: a network-based tool for cell fate reprogramming. In this paper, they introduce NETISCE, a novel computational tool for identifying cell fate reprogramming targets in static networks. In combination with machine learning algorithms, NETISCE [&hellip;]<\/p>\n","protected":false},"author":398,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"wds_primary_category":0,"footnotes":""},"categories":[26],"tags":[],"acf":[],"publishpress_future_action":{"enabled":false,"date":"2026-05-29 11:31:36","action":"change-status","newStatus":"draft","terms":[],"taxonomy":"category"},"_links":{"self":[{"href":"https:\/\/health.uconn.edu\/cell-analysis-modeling\/wp-json\/wp\/v2\/posts\/3570"}],"collection":[{"href":"https:\/\/health.uconn.edu\/cell-analysis-modeling\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/health.uconn.edu\/cell-analysis-modeling\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/health.uconn.edu\/cell-analysis-modeling\/wp-json\/wp\/v2\/users\/398"}],"replies":[{"embeddable":true,"href":"https:\/\/health.uconn.edu\/cell-analysis-modeling\/wp-json\/wp\/v2\/comments?post=3570"}],"version-history":[{"count":0,"href":"https:\/\/health.uconn.edu\/cell-analysis-modeling\/wp-json\/wp\/v2\/posts\/3570\/revisions"}],"wp:attachment":[{"href":"https:\/\/health.uconn.edu\/cell-analysis-modeling\/wp-json\/wp\/v2\/media?parent=3570"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/health.uconn.edu\/cell-analysis-modeling\/wp-json\/wp\/v2\/categories?post=3570"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/health.uconn.edu\/cell-analysis-modeling\/wp-json\/wp\/v2\/tags?post=3570"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}