{"id":3262,"date":"2025-05-19T10:51:03","date_gmt":"2025-05-19T10:51:03","guid":{"rendered":"https:\/\/tuscanyhealthecosystem.it\/cellhit-a-web-server-to-predict-and-analyze-drug-responsiveness-of-cancer-patients\/"},"modified":"2025-05-29T16:13:29","modified_gmt":"2025-05-29T16:13:29","slug":"cellhit-a-web-server-to-predict-and-analyze-drug-responsiveness-of-cancer-patients","status":"publish","type":"post","link":"https:\/\/tuscanyhealthecosystem.it\/en\/cellhit-a-web-server-to-predict-and-analyze-drug-responsiveness-of-cancer-patients\/","title":{"rendered":"CellHit: a web server to predict and analyze drug responsiveness of cancer patients"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-post\" data-elementor-id=\"3262\" class=\"elementor elementor-3262 elementor-3250\" data-elementor-post-type=\"post\">\n\t\t\t\t<div class=\"elementor-element elementor-element-607f7087 e-flex e-con-boxed e-con e-parent\" data-id=\"607f7087\" data-element_type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-d9bac38 elementor-widget elementor-widget-text-editor\" data-id=\"d9bac38\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p><b>Francesco Carli and Francesco Raimondi,<\/b><b> researchers at<\/b> <strong>the Bio@SNS Biology Laboratory, Scuola Normale Superiore di Pisa, are part of the research team that has developed the <a href=\"https:\/\/%20cellhit.bioinfolab.sns.it\/\">CellHit<\/a> web server, a web-based platform designed to predict and analyze cancer patients&#8217; drug responsiveness using transcriptomic data.<\/strong><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-c58bd43 elementor-widget elementor-widget-text-editor\" data-id=\"c58bd43\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>CellHit provides precomputed predictions on TCGA samples and offers the ability to perform custom online analyses on incoming samples, democratizing precision oncology and making rapid and interpretable predictions accessible to the research community.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-b0fd17d elementor-widget elementor-widget-text-editor\" data-id=\"b0fd17d\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>The entire article can be accessed on the <a href=\"https:\/\/academic.oup.com\/nar\/advance-article\/doi\/10.1093\/nar\/gkaf414\/8133636?login=false\">Oxford Academic website<\/a>. <\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>Francesco Carli and Francesco Raimondi, researchers at the Bio@SNS Biology Laboratory, Scuola Normale Superiore di Pisa, are part of the research team that has developed the CellHit web server, a web-based platform designed to predict and analyze cancer patients&#8217; drug responsiveness using transcriptomic data. CellHit provides precomputed predictions on TCGA samples and offers the ability [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":3253,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[58],"tags":[56],"class_list":["post-3262","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-news-en","tag-cybersecurity"],"acf":[],"_links":{"self":[{"href":"https:\/\/tuscanyhealthecosystem.it\/en\/wp-json\/wp\/v2\/posts\/3262","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/tuscanyhealthecosystem.it\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/tuscanyhealthecosystem.it\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/tuscanyhealthecosystem.it\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/tuscanyhealthecosystem.it\/en\/wp-json\/wp\/v2\/comments?post=3262"}],"version-history":[{"count":2,"href":"https:\/\/tuscanyhealthecosystem.it\/en\/wp-json\/wp\/v2\/posts\/3262\/revisions"}],"predecessor-version":[{"id":3479,"href":"https:\/\/tuscanyhealthecosystem.it\/en\/wp-json\/wp\/v2\/posts\/3262\/revisions\/3479"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/tuscanyhealthecosystem.it\/en\/wp-json\/wp\/v2\/media\/3253"}],"wp:attachment":[{"href":"https:\/\/tuscanyhealthecosystem.it\/en\/wp-json\/wp\/v2\/media?parent=3262"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/tuscanyhealthecosystem.it\/en\/wp-json\/wp\/v2\/categories?post=3262"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/tuscanyhealthecosystem.it\/en\/wp-json\/wp\/v2\/tags?post=3262"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}