JPPRED: Prediction of Types of J-Proteins from Imbalanced Data Using an Ensemble Learning Method
المؤلفون المشاركون
Zhang, Chengjin
Zhang, Lina
Gao, Rui
Yang, Runtao
المصدر
العدد
المجلد 2015، العدد 2015 (31 ديسمبر/كانون الأول 2015)، ص ص. 1-12، 12ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2015-10-26
دولة النشر
مصر
عدد الصفحات
12
التخصصات الرئيسية
الملخص EN
Different types of J-proteins perform distinct functions in chaperone processes and diseases development.
Accurate identification of types of J-proteins will provide significant clues to reveal the mechanism of J-proteins and contribute to developing drugs for diseases.
In this study, an ensemble predictor called JPPRED for J-protein prediction is proposed with hybrid features, including split amino acid composition (SAAC), pseudo amino acid composition (PseAAC), and position specific scoring matrix (PSSM).
To deal with the imbalanced benchmark dataset, the synthetic minority oversampling technique (SMOTE) and undersampling technique are applied.
The average sensitivity of JPPRED based on above-mentioned individual feature spaces lies in the range of 0.744–0.851, indicating the discriminative power of these features.
In addition, JPPRED yields the highest average sensitivity of 0.875 using the hybrid feature spaces of SAAC, PseAAC, and PSSM.
Compared to individual base classifiers, JPPRED obtains more balanced and better performance for each type of J-proteins.
To evaluate the prediction performance objectively, JPPRED is compared with previous study.
Encouragingly, JPPRED obtains balanced performance for each type of J-proteins, which is significantly superior to that of the existing method.
It is anticipated that JPPRED can be a potential candidate for J-protein prediction.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Zhang, Lina& Zhang, Chengjin& Gao, Rui& Yang, Runtao. 2015. JPPRED: Prediction of Types of J-Proteins from Imbalanced Data Using an Ensemble Learning Method. BioMed Research International،Vol. 2015, no. 2015, pp.1-12.
https://search.emarefa.net/detail/BIM-1056437
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Zhang, Lina…[et al.]. JPPRED: Prediction of Types of J-Proteins from Imbalanced Data Using an Ensemble Learning Method. BioMed Research International No. 2015 (2015), pp.1-12.
https://search.emarefa.net/detail/BIM-1056437
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Zhang, Lina& Zhang, Chengjin& Gao, Rui& Yang, Runtao. JPPRED: Prediction of Types of J-Proteins from Imbalanced Data Using an Ensemble Learning Method. BioMed Research International. 2015. Vol. 2015, no. 2015, pp.1-12.
https://search.emarefa.net/detail/BIM-1056437
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1056437
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