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Efficient Feature Selection and Classification of Protein Sequence Data in Bioinformatics
المؤلفون المشاركون
Belhaouari, Samir Brahim
Iqbal, Muhammad Javed
Faye, Ibrahima
Md Said, Abas
المصدر
العدد
المجلد 2014، العدد 2014 (31 ديسمبر/كانون الأول 2014)، ص ص. 1-12، 12ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2014-06-19
دولة النشر
مصر
عدد الصفحات
12
التخصصات الرئيسية
الطب البشري
تكنولوجيا المعلومات وعلم الحاسوب
الملخص EN
Bioinformatics has been an emerging area of research for the last three decades.
The ultimate aims of bioinformatics were to store and manage the biological data, and develop and analyze computational tools to enhance their understanding.
The size of data accumulated under various sequencing projects is increasing exponentially, which presents difficulties for the experimental methods.
To reduce the gap between newly sequenced protein and proteins with known functions, many computational techniques involving classification and clustering algorithms were proposed in the past.
The classification of protein sequences into existing superfamilies is helpful in predicting the structure and function of large amount of newly discovered proteins.
The existing classification results are unsatisfactory due to a huge size of features obtained through various feature encoding methods.
In this work, a statistical metric-based feature selection technique has been proposed in order to reduce the size of the extracted feature vector.
The proposed method of protein classification shows significant improvement in terms of performance measure metrics: accuracy, sensitivity, specificity, recall, F-measure, and so forth.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Iqbal, Muhammad Javed& Faye, Ibrahima& Belhaouari, Samir Brahim& Md Said, Abas. 2014. Efficient Feature Selection and Classification of Protein Sequence Data in Bioinformatics. The Scientific World Journal،Vol. 2014, no. 2014, pp.1-12.
https://search.emarefa.net/detail/BIM-1048590
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Iqbal, Muhammad Javed…[et al.]. Efficient Feature Selection and Classification of Protein Sequence Data in Bioinformatics. The Scientific World Journal No. 2014 (2014), pp.1-12.
https://search.emarefa.net/detail/BIM-1048590
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Iqbal, Muhammad Javed& Faye, Ibrahima& Belhaouari, Samir Brahim& Md Said, Abas. Efficient Feature Selection and Classification of Protein Sequence Data in Bioinformatics. The Scientific World Journal. 2014. Vol. 2014, no. 2014, pp.1-12.
https://search.emarefa.net/detail/BIM-1048590
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1048590
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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