Splice sites prediction of human genome using AdaBoost

Elham Pashaei; Mustafa Ozen; Nizamettin Aydin

doi:10.1109/BHI.2016.7455894

Splice sites prediction of human genome using AdaBoost

Elham Pashaei^*
, Mustafa Ozen
, Nizamettin Aydin

^*Bu çalışma için yazışmadan sorumlu yazar

Yildiz Technical University
Biruni Universitesi

Araştırma çıktısı: Kitap/Rapor/Konferans Bildirisinde Bölüm › Konferans katkısı › Hakem

14 Atıf (Scopus)

Özet

With the rapid growth of huge amounts of DNA sequence, gene prediction has become a challenging problem in bioinformatics. Splice sites prediction plays a key role in identification of genes. Hence, development of new methods to improve the accuracy of the splice sites prediction has great significance. This paper introduces a new method for splice sites prediction by combining AdaBoost classifier with a modified nucleotide encoding method, namely DM2. This method has been applied to the HS3D dataset with repeated 10-fold cross validation. Experimental results show that this method improves accuracy of the splice sites prediction and performs better than the MM1-SVM, Reduced MM1-SVM, SVM-B, LVMM2 and DM-SVM.

Orijinal dil	İngilizce
Ana bilgisayar yayını başlığı	3rd IEEE EMBS International Conference on Biomedical and Health Informatics, BHI 2016
Yayınlayan	Institute of Electrical and Electronics Engineers Inc.
Sayfalar	300-303
Sayfa sayısı	4
ISBN (Elektronik)	9781509024551
DOI'lar	https://doi.org/10.1109/BHI.2016.7455894
Yayın durumu	Yayınlandı - 18 Nis 2016
Harici olarak yayınlandı	Evet
Etkinlik	3rd IEEE EMBS International Conference on Biomedical and Health Informatics, BHI 2016 - Las Vegas, United States Süre: 24 Şub 2016 → 27 Şub 2016

Yayın serisi

Adı	3rd IEEE EMBS International Conference on Biomedical and Health Informatics, BHI 2016

???event.eventtypes.event.conference???

???event.eventtypes.event.conference???	3rd IEEE EMBS International Conference on Biomedical and Health Informatics, BHI 2016
Ülke/Bölge	United States
Şehir	Las Vegas
Periyot	24/02/16 → 27/02/16

Bibliyografik not

Publisher Copyright:
© 2016 IEEE.

Belgeye Erişim

10.1109/BHI.2016.7455894

Diğer Dosyalar ve Linkler

Link to publication in Scopus

Alıntı Yap

Pashaei, E., Ozen, M., & Aydin, N. (2016). Splice sites prediction of human genome using AdaBoost. In 3rd IEEE EMBS International Conference on Biomedical and Health Informatics, BHI 2016 (pp. 300-303). Makale 7455894 (3rd IEEE EMBS International Conference on Biomedical and Health Informatics, BHI 2016). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/BHI.2016.7455894

@inproceedings{f1af36e0802948839538915002870a08,

title = "Splice sites prediction of human genome using AdaBoost",

abstract = "With the rapid growth of huge amounts of DNA sequence, gene prediction has become a challenging problem in bioinformatics. Splice sites prediction plays a key role in identification of genes. Hence, development of new methods to improve the accuracy of the splice sites prediction has great significance. This paper introduces a new method for splice sites prediction by combining AdaBoost classifier with a modified nucleotide encoding method, namely DM2. This method has been applied to the HS3D dataset with repeated 10-fold cross validation. Experimental results show that this method improves accuracy of the splice sites prediction and performs better than the MM1-SVM, Reduced MM1-SVM, SVM-B, LVMM2 and DM-SVM.",

keywords = "AdaBoost classifier, Nucleotide encoding method, Splice site prediction",

author = "Elham Pashaei and Mustafa Ozen and Nizamettin Aydin",

note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 3rd IEEE EMBS International Conference on Biomedical and Health Informatics, BHI 2016 ; Conference date: 24-02-2016 Through 27-02-2016",

year = "2016",

month = apr,

day = "18",

doi = "10.1109/BHI.2016.7455894",

language = "English",

series = "3rd IEEE EMBS International Conference on Biomedical and Health Informatics, BHI 2016",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "300--303",

booktitle = "3rd IEEE EMBS International Conference on Biomedical and Health Informatics, BHI 2016",

address = "United States",

}

Pashaei, E, Ozen, M & Aydin, N 2016, Splice sites prediction of human genome using AdaBoost. in 3rd IEEE EMBS International Conference on Biomedical and Health Informatics, BHI 2016., 7455894, 3rd IEEE EMBS International Conference on Biomedical and Health Informatics, BHI 2016, Institute of Electrical and Electronics Engineers Inc., pp. 300-303, 3rd IEEE EMBS International Conference on Biomedical and Health Informatics, BHI 2016, Las Vegas, United States, 24/02/16. https://doi.org/10.1109/BHI.2016.7455894

Splice sites prediction of human genome using AdaBoost. / Pashaei, Elham; Ozen, Mustafa; Aydin, Nizamettin.
3rd IEEE EMBS International Conference on Biomedical and Health Informatics, BHI 2016. Institute of Electrical and Electronics Engineers Inc., 2016. p. 300-303 7455894 (3rd IEEE EMBS International Conference on Biomedical and Health Informatics, BHI 2016).

Araştırma çıktısı: Kitap/Rapor/Konferans Bildirisinde Bölüm › Konferans katkısı › Hakem

TY - GEN

T1 - Splice sites prediction of human genome using AdaBoost

AU - Pashaei, Elham

AU - Ozen, Mustafa

AU - Aydin, Nizamettin

PY - 2016/4/18

Y1 - 2016/4/18

N2 - With the rapid growth of huge amounts of DNA sequence, gene prediction has become a challenging problem in bioinformatics. Splice sites prediction plays a key role in identification of genes. Hence, development of new methods to improve the accuracy of the splice sites prediction has great significance. This paper introduces a new method for splice sites prediction by combining AdaBoost classifier with a modified nucleotide encoding method, namely DM2. This method has been applied to the HS3D dataset with repeated 10-fold cross validation. Experimental results show that this method improves accuracy of the splice sites prediction and performs better than the MM1-SVM, Reduced MM1-SVM, SVM-B, LVMM2 and DM-SVM.

AB - With the rapid growth of huge amounts of DNA sequence, gene prediction has become a challenging problem in bioinformatics. Splice sites prediction plays a key role in identification of genes. Hence, development of new methods to improve the accuracy of the splice sites prediction has great significance. This paper introduces a new method for splice sites prediction by combining AdaBoost classifier with a modified nucleotide encoding method, namely DM2. This method has been applied to the HS3D dataset with repeated 10-fold cross validation. Experimental results show that this method improves accuracy of the splice sites prediction and performs better than the MM1-SVM, Reduced MM1-SVM, SVM-B, LVMM2 and DM-SVM.

KW - AdaBoost classifier

KW - Nucleotide encoding method

KW - Splice site prediction

UR - https://www.scopus.com/pages/publications/84968537991

U2 - 10.1109/BHI.2016.7455894

DO - 10.1109/BHI.2016.7455894

M3 - Conference contribution

AN - SCOPUS:84968537991

T3 - 3rd IEEE EMBS International Conference on Biomedical and Health Informatics, BHI 2016

SP - 300

EP - 303

BT - 3rd IEEE EMBS International Conference on Biomedical and Health Informatics, BHI 2016

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 3rd IEEE EMBS International Conference on Biomedical and Health Informatics, BHI 2016

Y2 - 24 February 2016 through 27 February 2016

ER -

Pashaei E, Ozen M, Aydin N. Splice sites prediction of human genome using AdaBoost. In 3rd IEEE EMBS International Conference on Biomedical and Health Informatics, BHI 2016. Institute of Electrical and Electronics Engineers Inc. 2016. p. 300-303. 7455894. (3rd IEEE EMBS International Conference on Biomedical and Health Informatics, BHI 2016). doi: 10.1109/BHI.2016.7455894

Splice sites prediction of human genome using AdaBoost

Özet

Yayın serisi

???event.eventtypes.event.conference???

Bibliyografik not

Belgeye Erişim

Diğer Dosyalar ve Linkler

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