Biomarker discovery based on BBHA and AdaboostM1 on microarray data for cancer classification

Elnaz Pashaei; Mustafa Ozen; Nizamettin Aydin

doi:10.1109/EMBC.2016.7591380

Biomarker discovery based on BBHA and AdaboostM1 on microarray data for cancer classification

Elnaz Pashaei
, Mustafa Ozen
, Nizamettin Aydin

Araştırma sonucu: Kitap/Rapor/Konferans Bildirisinde Bölüm › Konferans katkısı › bilirkişi

12 Atıf (Scopus)

Özet

In this paper, a new approach based on Binary Black Hole Algorithm (BBHA) and Adaptive Boosting version Ml (AdaboostM1) is proposed for finding genes that can classify the group of cancers correctly. In this approach, BBHA is used to perform gene selection and AdaboostM1 with 10-fold cross validation is adopted as the classifier. Also, to find the relation between the biomarkers for biological point of view, decision tree algorithm (C4.5) is utilized. The proposed approach is tested on three benchmark microarrays. The experimental results show that our proposed method can select the most informative gene subsets by reducing the dimension of the data set and improve classification accuracy as compared to several recent studies.

Orijinal dil	İngilizce
Ana bilgisayar yayını başlığı	2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2016
Yayınlayan	Institute of Electrical and Electronics Engineers Inc.
Sayfalar	3080-3083
Sayfa sayısı	4
ISBN (Elektronik)	9781457702204
DOI'lar	https://doi.org/10.1109/EMBC.2016.7591380
Yayın durumu	Yayınlandı - 13 Eki 2016
Harici olarak yayınlandı	Evet
Etkinlik	38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2016 - Orlando, United States Süre: 16 Ağu 2016 → 20 Ağu 2016

Yayın serisi

Adı	Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
Hacim	2016-October
ISSN (Basılı)	1557-170X

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

???event.eventtypes.event.conference???	38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2016
Ülke/Bölge	United States
Şehir	Orlando
Periyot	16/08/16 → 20/08/16

Bibliyografik not

Publisher Copyright:
© 2016 IEEE.

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Belgeye Erişim

10.1109/EMBC.2016.7591380

Diğer Dosyalar ve Linkler

Link to publication in Scopus

Alıntı Yap

Pashaei, E., Ozen, M., & Aydin, N. (2016). Biomarker discovery based on BBHA and AdaboostM1 on microarray data for cancer classification. In 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2016 (pp. 3080-3083). Makale 7591380 (Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS; Hac. 2016-October). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/EMBC.2016.7591380

Pashaei, Elnaz ; Ozen, Mustafa ; Aydin, Nizamettin. / Biomarker discovery based on BBHA and AdaboostM1 on microarray data for cancer classification. 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2016. Institute of Electrical and Electronics Engineers Inc., 2016. pp. 3080-3083 (Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS).

@inproceedings{bbedd81d65d44bf1acc4cbb63c089ec1,

title = "Biomarker discovery based on BBHA and AdaboostM1 on microarray data for cancer classification",

abstract = "In this paper, a new approach based on Binary Black Hole Algorithm (BBHA) and Adaptive Boosting version Ml (AdaboostM1) is proposed for finding genes that can classify the group of cancers correctly. In this approach, BBHA is used to perform gene selection and AdaboostM1 with 10-fold cross validation is adopted as the classifier. Also, to find the relation between the biomarkers for biological point of view, decision tree algorithm (C4.5) is utilized. The proposed approach is tested on three benchmark microarrays. The experimental results show that our proposed method can select the most informative gene subsets by reducing the dimension of the data set and improve classification accuracy as compared to several recent studies.",

keywords = "AdaboostM1, Binary black hole algorithm, Cancer classification, Gene selection",

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

note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2016 ; Conference date: 16-08-2016 Through 20-08-2016",

year = "2016",

month = oct,

day = "13",

doi = "10.1109/EMBC.2016.7591380",

language = "English",

series = "Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS",

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

pages = "3080--3083",

booktitle = "2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2016",

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}

Pashaei, E, Ozen, M & Aydin, N 2016, Biomarker discovery based on BBHA and AdaboostM1 on microarray data for cancer classification. in 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2016., 7591380, Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS, hac. 2016-October, Institute of Electrical and Electronics Engineers Inc., pp. 3080-3083, 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2016, Orlando, United States, 16/08/16. https://doi.org/10.1109/EMBC.2016.7591380

Biomarker discovery based on BBHA and AdaboostM1 on microarray data for cancer classification. / Pashaei, Elnaz; Ozen, Mustafa; Aydin, Nizamettin.
2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2016. Institute of Electrical and Electronics Engineers Inc., 2016. p. 3080-3083 7591380 (Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS; Hac. 2016-October).

Araştırma sonucu: Kitap/Rapor/Konferans Bildirisinde Bölüm › Konferans katkısı › bilirkişi

TY - GEN

T1 - Biomarker discovery based on BBHA and AdaboostM1 on microarray data for cancer classification

AU - Pashaei, Elnaz

AU - Ozen, Mustafa

AU - Aydin, Nizamettin

PY - 2016/10/13

Y1 - 2016/10/13

N2 - In this paper, a new approach based on Binary Black Hole Algorithm (BBHA) and Adaptive Boosting version Ml (AdaboostM1) is proposed for finding genes that can classify the group of cancers correctly. In this approach, BBHA is used to perform gene selection and AdaboostM1 with 10-fold cross validation is adopted as the classifier. Also, to find the relation between the biomarkers for biological point of view, decision tree algorithm (C4.5) is utilized. The proposed approach is tested on three benchmark microarrays. The experimental results show that our proposed method can select the most informative gene subsets by reducing the dimension of the data set and improve classification accuracy as compared to several recent studies.

AB - In this paper, a new approach based on Binary Black Hole Algorithm (BBHA) and Adaptive Boosting version Ml (AdaboostM1) is proposed for finding genes that can classify the group of cancers correctly. In this approach, BBHA is used to perform gene selection and AdaboostM1 with 10-fold cross validation is adopted as the classifier. Also, to find the relation between the biomarkers for biological point of view, decision tree algorithm (C4.5) is utilized. The proposed approach is tested on three benchmark microarrays. The experimental results show that our proposed method can select the most informative gene subsets by reducing the dimension of the data set and improve classification accuracy as compared to several recent studies.

KW - AdaboostM1

KW - Binary black hole algorithm

KW - Cancer classification

KW - Gene selection

UR - https://www.scopus.com/pages/publications/85009134592

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DO - 10.1109/EMBC.2016.7591380

M3 - Conference contribution

C2 - 28268962

AN - SCOPUS:85009134592

T3 - Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS

SP - 3080

EP - 3083

BT - 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2016

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2016

Y2 - 16 August 2016 through 20 August 2016

ER -

Pashaei E, Ozen M, Aydin N. Biomarker discovery based on BBHA and AdaboostM1 on microarray data for cancer classification. In 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2016. Institute of Electrical and Electronics Engineers Inc. 2016. p. 3080-3083. 7591380. (Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS). doi: 10.1109/EMBC.2016.7591380

Biomarker discovery based on BBHA and AdaboostM1 on microarray data for cancer classification

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Bibliyografik not

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