Kanser Sınıflandırmasını Geliştirme: RNA-Seq Gen EkspresyonuVerileri Üzerinde Makine Öğrenimi Uygulamaları

Year 2025, Volume: 8 Issue: 1, 133 - 141, 26.08.2025

Büşra Çetinkaya , Mustafa Cem Kasapbaşı

https://doi.org/10.56809/icujtas.1609317

Abstract

Bu çalışma, kanser sınıflandırmasını geliştirmek amacıyla RNA-seq gen ekspresyonu verilerinin makine öğrenimi teknikleri ile analizini ele almaktadır. UCI Machine Learning Repository'den elde edilen veri seti, farklı kanser türlerine ait gen ifade seviyelerini içermektedir. Bu veriler, makine öğrenimi algoritmalarının kanser teşhisi ve sınıflandırmasındaki etkinliğini değerlendirmek için kullanılmaktadır.

Keywords

Kanser , RNA Sekanslanma , Veri Analizi , Makine Öğrenimi

Advancing Cancer Classification: Machine Learning Applications on RNA-Seq Gene Expression Data

Abstract

This study addresses the analysis of RNA-seq gene expression data using machine learning techniques to improve cancer classification. The dataset obtained from the UCI Machine Learning Repository contains gene expression levels for different types of cancer. These data are used to evaluate the effectiveness of machine learning algorithms in cancer diagnosis and classification.

Keywords

Cancer , RNA Sequencing , Data Analysis , Machine Learning

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