A Comparison for Feature Extraction and Dimension Reduction Methods for Classification of RNA m6A Modification Sites

Batuhan Nuray; Volkan Altuntaş

Makale detayları

A Comparison for Feature Extraction and Dimension Reduction Methods for Classification of RNA m6A Modification Sites

Yazarlar:

Batuhan Nuray | Volkan Altuntaş

Yayıncı:

Gazi University

Ana Başlıklar:

Makine Öğrenme (Diğer)

Dergi:

Politeknik Dergisi Vol.28 Issue 2, pp.661-671

Belge Tipi:

Makale

Yayın Tarihi:

3/2025

Belge Dili:

Türkçe

Document ID (Org No.):

2001344348

pISSN:

2147-9429

Anahtar kelimeler:

Özet:

 In this study was to identify N6-methyladenosine m6A modification sitesthat frequently occur in RNA and to compare the performance of different feature extractors, feature selectors and dimension reduction algorithms using K-nearest neighbour classification algorithm for future studies. 35 different feature extraction algorithms and 9 different dimension reduction and feature selection algorithms were used to evaluate the performance of the algorithms in the identification of m6A modification sites. At the end of the study, it was observed that the combination of the NCP feature extraction algorithm, whic takes into account the chemical properties of nucleotides, and the Extra Trees dimension reduction mehod showed high performance in the identification of m6A modification sites.

 In this study was to identify N6-methyladenosine m6A modification sitesthat frequently occur in RNA and to compare the performance of different feature extractors, feature selectors and dimension reduction algorithms using K-nearest neighbour classification algorithm for future studies. 35 different feature extraction algorithms and 9 different dimension reduction and feature selection algorithms were used to evaluate the performance of the algorithms in the identification of m6A modification sites. At the end of the study, it was observed that the combination of the NCP feature extraction algorithm, whic takes into account the chemical properties of nucleotides, and the Extra Trees dimension reduction mehod showed high performance in the identification of m6A modification sites.

 In this study was to identify N6-methyladenosine m6A modification sitesthat frequently occur in RNA and to compare the performance of different feature extractors, feature selectors and dimension reduction algorithms using K-nearest neighbour classification algorithm for future studies. 35 different feature extraction algorithms and 9 different dimension reduction and feature selection algorithms were used to evaluate the performance of the algorithms in the identification of m6A modification sites. At the end of the study, it was observed that the combination of the NCP feature extraction algorithm, whic takes into account the chemical properties of nucleotides, and the Extra Trees dimension reduction mehod showed high performance in the identification of m6A modification sites.

 Bu çalışmada RNAda sıklıkla meydana gelen N6-metiladenozin m6A modifikasyon bölgelerinin belirlenmesi ve gelecekte yapılacak çalışmalar için farklı öznitelik çıkarıcılar, öznitelik seçiciler ve boyut düşürme algoritmalarının, K-en yakın komşu sınıflandırma algoritması kullanılarak performanslarının karşılaştırılması amaçlanmıştır. 35 farklı öznitelik çıkarma algoritması ve 9 farklı boyut azaltma ve öznitelik seçici algoritma kullanılarak algoritmaların m6A modifikasyon bölgelerinin tanımlamasındaki performansları değerlendirilmiştir. Yapılan çalışmanın sonunda Nükleotidlerin kimyasal özelliklerini dikkate alarak öznitelik çıkarımı yapan NCP öznitelik çıkarma algoritması ile Ekstra Ağaçlar boyut azaltma yönteminin birlikte kullanılmasının m6A modifikasyon bölgelerinin belirlenmesinde yüksek performans gösterdiği görülmüştür.

Makale detayları

A Comparison for Feature Extraction and Dimension Reduction Methods for Classification of RNA m6A Modification Sites

Yazarlar:

Batuhan Nuray | Volkan Altuntaş

Yayıncı:

Gazi University

Ana Başlıklar:

Makine Öğrenme (Diğer)

Dergi:

Politeknik Dergisi Vol.28 Issue 2, pp.661-671

Belge Tipi:

Makale

Yayın Tarihi:

3/2025

Belge Dili:

Türkçe

Document ID (Org No.):

2001344348

pISSN:

2147-9429

N6-methyladenosine (m6A) sites

Feature Extraction

Feature Selection

K-nearest neighbourN6-metiladenozin (m6A) bölgeleri

Öznitelik Çıkarımı

Öznitelik Seçimi

K-En yakın Komşu

Sayı

Makale detayları

Yazarlar: Batuhan Nuray | Volkan Altuntaş

Yayıncı: Gazi University

Ana Başlıklar: Makine Öğrenme (Diğer)

Dergi: Politeknik Dergisi Vol.28 Issue 2, pp.661-671

Belge Tipi: Makale

Yayın Tarihi: 3/2025

Belge Dili: Türkçe

Document ID (Org No.): 2001344348

pISSN: 2147-9429

Sayı

Yazarlar:

Batuhan Nuray | Volkan Altuntaş

Yayıncı:

Gazi University

Ana Başlıklar:

Makine Öğrenme (Diğer)

Dergi:

Politeknik Dergisi Vol.28 Issue 2, pp.661-671

Belge Tipi:

Makale

Yayın Tarihi:

3/2025

Belge Dili:

Türkçe

Document ID (Org No.):

2001344348

pISSN:

2147-9429