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A Discrete Wavelet Based Feature Extraction and Hybrid Classification Technique for Microarray Data Analysis
المؤلفون المشاركون
Bennet, Jaison
Arul Ganaprakasam, Chilambuchelvan
Kannan, A.
المصدر
العدد
المجلد 2014، العدد 2014 (31 ديسمبر/كانون الأول 2014)، ص ص. 1-9، 9ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2014-08-05
دولة النشر
مصر
عدد الصفحات
9
التخصصات الرئيسية
الطب البشري
تكنولوجيا المعلومات وعلم الحاسوب
الملخص EN
Cancer classification by doctors and radiologists was based on morphological and clinical features and had limited diagnostic ability in olden days.
The recent arrival of DNA microarray technology has led to the concurrent monitoring of thousands of gene expressions in a single chip which stimulates the progress in cancer classification.
In this paper, we have proposed a hybrid approach for microarray data classification based on nearest neighbor (KNN), naive Bayes, and support vector machine (SVM).
Feature selection prior to classification plays a vital role and a feature selection technique which combines discrete wavelet transform (DWT) and moving window technique (MWT) is used.
The performance of the proposed method is compared with the conventional classifiers like support vector machine, nearest neighbor, and naive Bayes.
Experiments have been conducted on both real and benchmark datasets and the results indicate that the ensemble approach produces higher classification accuracy than conventional classifiers.
This paper serves as an automated system for the classification of cancer and can be applied by doctors in real cases which serve as a boon to the medical community.
This work further reduces the misclassification of cancers which is highly not allowed in cancer detection.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Bennet, Jaison& Arul Ganaprakasam, Chilambuchelvan& Kannan, A.. 2014. A Discrete Wavelet Based Feature Extraction and Hybrid Classification Technique for Microarray Data Analysis. The Scientific World Journal،Vol. 2014, no. 2014, pp.1-9.
https://search.emarefa.net/detail/BIM-1048691
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Bennet, Jaison…[et al.]. A Discrete Wavelet Based Feature Extraction and Hybrid Classification Technique for Microarray Data Analysis. The Scientific World Journal No. 2014 (2014), pp.1-9.
https://search.emarefa.net/detail/BIM-1048691
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Bennet, Jaison& Arul Ganaprakasam, Chilambuchelvan& Kannan, A.. A Discrete Wavelet Based Feature Extraction and Hybrid Classification Technique for Microarray Data Analysis. The Scientific World Journal. 2014. Vol. 2014, no. 2014, pp.1-9.
https://search.emarefa.net/detail/BIM-1048691
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1048691
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
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