İnsanda Uzun Kodlanmayan RNA’ların Doku İfade Örüntüleri ve Varsayımsal İşlevlerinin Benzeşme Yayılması Algoritması ile İncelenmesi

Kümeleme yöntemleri, yüksek hacimli gen ifadesi örüntülerinden biyolojik olarak anlamlı bilginin eldeedilmesinde yaygın olarak kullanılmaktadır. Benzeşme yayılması algoritması, veri noktaları arasından örnekleradı verilen küme merkezlerinin belirlendiği ve bunların etrafında kümelerin oluşturulduğu yeni bir yaklaşımdır.Bu çalışmada, hastalık, gelişim ve farklılaşma gibi farklı hücresel olaylarda düzenleyici transkriptler olan uzunkodlanmayan RNA’ların, benzeşme yayılması algoritması ile 16 farklı sağlıklı insan dokusundaki ifade örüntüleriincelendi. Bununla beraber uzun kodlanmayan RNAların varsayımsal işlevleri, kümeleme yaklaşımı ile bilgisayartabanlı olarak tahminlendi ve kapsamlı bir ifade örüntüsü – işlev kataloğu hazırlandı

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