Improved Pre-miRNA Classification by Reducing the Effect of Class Imbalance
المؤلفون المشاركون
Zhong, Yingli
Xuan, Ping
Han, Ke
Zhang, Weiping
Li, Jianzhong
المصدر
العدد
المجلد 2015، العدد 2015 (31 ديسمبر/كانون الأول 2015)، ص ص. 1-12، 12ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2015-11-10
دولة النشر
مصر
عدد الصفحات
12
التخصصات الرئيسية
الملخص EN
MicroRNAs (miRNAs) play important roles in the diverse biological processes of animals and plants.
Although the prediction methods based on machine learning can identify nonhomologous and species-specific miRNAs, they suffered from severe class imbalance on real and pseudo pre-miRNAs.
We propose a pre-miRNA classification method based on cost-sensitive ensemble learning and refer to it as MiRNAClassify.
Through a series of iterations, the information of all the positive and negative samples is completely exploited.
In each iteration, a new classification instance is trained by the equal number of positive and negative samples.
In this way, the negative effect of class imbalance is efficiently relieved.
The new instance primarily focuses on those samples that are easy to be misclassified.
In addition, the positive samples are assigned higher cost weight than the negative samples.
MiRNAClassify is compared with several state-of-the-art methods and some well-known classification models by testing the datasets about human, animal, and plant.
The result of cross validation indicates that MiRNAClassify significantly outperforms other methods and models.
In addition, the newly added pre-miRNAs are used to further evaluate the ability of these methods to discover novel pre-miRNAs.
MiRNAClassify still achieves consistently superior performance and can discover more pre-miRNAs.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Zhong, Yingli& Xuan, Ping& Han, Ke& Zhang, Weiping& Li, Jianzhong. 2015. Improved Pre-miRNA Classification by Reducing the Effect of Class Imbalance. BioMed Research International،Vol. 2015, no. 2015, pp.1-12.
https://search.emarefa.net/detail/BIM-1057385
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Zhong, Yingli…[et al.]. Improved Pre-miRNA Classification by Reducing the Effect of Class Imbalance. BioMed Research International No. 2015 (2015), pp.1-12.
https://search.emarefa.net/detail/BIM-1057385
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Zhong, Yingli& Xuan, Ping& Han, Ke& Zhang, Weiping& Li, Jianzhong. Improved Pre-miRNA Classification by Reducing the Effect of Class Imbalance. BioMed Research International. 2015. Vol. 2015, no. 2015, pp.1-12.
https://search.emarefa.net/detail/BIM-1057385
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1057385
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