{"id":11601,"date":"2026-09-24T09:40:33","date_gmt":"2026-09-24T07:40:33","guid":{"rendered":"https:\/\/semmelweis.hu\/bioinformatika\/?page_id=11601"},"modified":"2026-09-24T09:40:33","modified_gmt":"2026-09-24T07:40:33","slug":"lanczky-andras","status":"publish","type":"page","link":"https:\/\/semmelweis.hu\/bioinformatika\/lanczky-andras\/","title":{"rendered":"L\u00e1nczky Andr\u00e1s"},"content":{"rendered":"<p style=\"text-align: justify\"><strong><img loading=\"lazy\" decoding=\"async\" class=\"size-medium wp-image-11046 alignleft\" src=\"https:\/\/semmelweis.hu\/bioinformatika\/files\/2025\/06\/Lanczy-A-e1790234579127-376x400.jpg\" alt=\"\" width=\"376\" height=\"400\" srcset=\"https:\/\/semmelweis.hu\/bioinformatika\/files\/2025\/06\/Lanczy-A-e1790234579127-376x400.jpg 376w, https:\/\/semmelweis.hu\/bioinformatika\/files\/2025\/06\/Lanczy-A-e1790234579127.jpg 471w\" sizes=\"auto, (max-width: 376px) 100vw, 376px\" \/>T\u00e9ma<\/strong>: Mesters\u00e9ges intelligencia alap\u00fa t\u00fal\u00e9l\u00e9s-elemz\u00e9si m\u00f3dszerek fejleszt\u00e9se \u00e9s alkalmaz\u00e1sa tumoros g\u00e9nexpresszi\u00f3s adatokon<u><\/u><u><\/u><\/p>\n<p style=\"text-align: justify\">T\u00e9mavezet\u0151: Prof. Dr. Gy\u0151rffy Bal\u00e1zs<u><\/u><u><\/u><\/p>\n<p style=\"text-align: justify\">Kutat\u00e1si t\u00e9ma \u00f6sszefoglal\u00e1sa:<br \/>\nA kutat\u00e1s c\u00e9lja korszer\u0171 statisztikai \u00e9s bioinformatikai megk\u00f6zel\u00edt\u00e9sek kidolgoz\u00e1sa, amelyek jav\u00edtj\u00e1k a t\u00fal\u00e9l\u00e9s elemz\u00e9si m\u00f3dszerek pontoss\u00e1g\u00e1t heterog\u00e9n betegcsoportok \u00e9s komplex klinikai adatok eset\u00e9n. A kutat\u00e1s tov\u00e1bbi c\u00e9lja, molekul\u00e1ris biomarkerek (p\u00e9ld\u00e1ul g\u00e9nexpresszi\u00f3s markerek) klinikai t\u00fal\u00e9l\u00e9sre gyakorolt hat\u00e1s\u00e1nak elemz\u00e9se k\u00fcl\u00f6nb\u00f6z\u0151 daganatt\u00edpusokban. Ezen eredm\u00e9nyek felhaszn\u00e1l\u00e1s\u00e1val c\u00e9lom egy olyan integr\u00e1lt bioinformatikai platform vagy m\u00f3dszertani keretrendszer l\u00e9trehoz\u00e1sa, amely t\u00e1mogatja a t\u00fal\u00e9l\u00e9si adatok helyes \u00e9rtelmez\u00e9s\u00e9t klinikai kutat\u00e1sokban. Ez mag\u00e1ban foglalja a statisztikai eredm\u00e9nyek mesters\u00e9ges intelligencia alap\u00fa gyakorlati interpret\u00e1ci\u00f3j\u00e1t, a k\u00fcl\u00f6nb\u00f6z\u0151 v\u00e9gpontok klinikai relevanci\u00e1j\u00e1nak vizsg\u00e1lat\u00e1t, valamint reproduk\u00e1lhat\u00f3 elemz\u00e9si folyamatok fejleszt\u00e9s\u00e9t.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>T\u00e9ma: Mesters\u00e9ges intelligencia alap\u00fa t\u00fal\u00e9l\u00e9s-elemz\u00e9si m\u00f3dszerek fejleszt\u00e9se \u00e9s alkalmaz\u00e1sa tumoros g\u00e9nexpresszi\u00f3s adatokon T\u00e9mavezet\u0151: Prof. Dr. Gy\u0151rffy Bal\u00e1zs Kutat\u00e1si t\u00e9ma \u00f6sszefoglal\u00e1sa: A kutat\u00e1s c\u00e9lja korszer\u0171 statisztikai \u00e9s bioinformatikai megk\u00f6zel\u00edt\u00e9sek kidolgoz\u00e1sa, amelyek jav\u00edtj\u00e1k a t\u00fal\u00e9l\u00e9s elemz\u00e9si m\u00f3dszerek pontoss\u00e1g\u00e1t heterog\u00e9n betegcsoportok \u00e9s komplex klinikai adatok eset\u00e9n. A kutat\u00e1s tov\u00e1bbi c\u00e9lja, molekul\u00e1ris biomarkerek (p\u00e9ld\u00e1ul g\u00e9nexpresszi\u00f3s markerek) klinikai t\u00fal\u00e9l\u00e9sre gyakorolt &hellip;<\/p>\n","protected":false},"author":102440,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"footnotes":""},"categories":[],"tags":[],"class_list":["post-11601","page","type-page","status-publish","hentry"],"acf":[],"_links":{"self":[{"href":"https:\/\/semmelweis.hu\/bioinformatika\/wp-json\/wp\/v2\/pages\/11601","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/semmelweis.hu\/bioinformatika\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/semmelweis.hu\/bioinformatika\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/semmelweis.hu\/bioinformatika\/wp-json\/wp\/v2\/users\/102440"}],"replies":[{"embeddable":true,"href":"https:\/\/semmelweis.hu\/bioinformatika\/wp-json\/wp\/v2\/comments?post=11601"}],"version-history":[{"count":1,"href":"https:\/\/semmelweis.hu\/bioinformatika\/wp-json\/wp\/v2\/pages\/11601\/revisions"}],"predecessor-version":[{"id":11602,"href":"https:\/\/semmelweis.hu\/bioinformatika\/wp-json\/wp\/v2\/pages\/11601\/revisions\/11602"}],"wp:attachment":[{"href":"https:\/\/semmelweis.hu\/bioinformatika\/wp-json\/wp\/v2\/media?parent=11601"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/semmelweis.hu\/bioinformatika\/wp-json\/wp\/v2\/categories?post=11601"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/semmelweis.hu\/bioinformatika\/wp-json\/wp\/v2\/tags?post=11601"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}