Recognition of Multiple Imbalanced Cancer Types Based on DNA Microarray Data Using Ensemble Classifiers
المؤلفون المشاركون
Yu, Hualong
Hong, Shufang
Yang, Xibei
Ni, Jun
Dan, Yuanyuan
Qin, Bin
المصدر
العدد
المجلد 2013، العدد 2013 (31 ديسمبر/كانون الأول 2013)، ص ص. 1-13، 13ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2013-08-26
دولة النشر
مصر
عدد الصفحات
13
التخصصات الرئيسية
الملخص EN
DNA microarray technology can measure the activities of tens of thousands of genes simultaneously, which provides an efficient way to diagnose cancer at the molecular level.
Although this strategy has attracted significant research attention, most studies neglect an important problem, namely, that most DNA microarray datasets are skewed, which causes traditional learning algorithms to produce inaccurate results.
Some studies have considered this problem, yet they merely focus on binary-class problem.
In this paper, we dealt with multiclass imbalanced classification problem, as encountered in cancer DNA microarray, by using ensemble learning.
We utilized one-against-all coding strategy to transform multiclass to multiple binary classes, each of them carrying out feature subspace, which is an evolving version of random subspace that generates multiple diverse training subsets.
Next, we introduced one of two different correction technologies, namely, decision threshold adjustment or random undersampling, into each training subset to alleviate the damage of class imbalance.
Specifically, support vector machine was used as base classifier, and a novel voting rule called counter voting was presented for making a final decision.
Experimental results on eight skewed multiclass cancer microarray datasets indicate that unlike many traditional classification approaches, our methods are insensitive to class imbalance.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Yu, Hualong& Hong, Shufang& Yang, Xibei& Ni, Jun& Dan, Yuanyuan& Qin, Bin. 2013. Recognition of Multiple Imbalanced Cancer Types Based on DNA Microarray Data Using Ensemble Classifiers. BioMed Research International،Vol. 2013, no. 2013, pp.1-13.
https://search.emarefa.net/detail/BIM-1003767
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Yu, Hualong…[et al.]. Recognition of Multiple Imbalanced Cancer Types Based on DNA Microarray Data Using Ensemble Classifiers. BioMed Research International No. 2013 (2013), pp.1-13.
https://search.emarefa.net/detail/BIM-1003767
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Yu, Hualong& Hong, Shufang& Yang, Xibei& Ni, Jun& Dan, Yuanyuan& Qin, Bin. Recognition of Multiple Imbalanced Cancer Types Based on DNA Microarray Data Using Ensemble Classifiers. BioMed Research International. 2013. Vol. 2013, no. 2013, pp.1-13.
https://search.emarefa.net/detail/BIM-1003767
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1003767
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر