HMMPred: Accurate Prediction of DNA-Binding Proteins Based on HMM Profiles and XGBoost Feature Selection
المؤلفون المشاركون
Zheng, Huiwen
Yang, Yang
Xiao, Wanyue
Liu, Taigang
Sang, Xiuzhi
المصدر
Computational and Mathematical Methods in Medicine
العدد
المجلد 2020، العدد 2020 (31 ديسمبر/كانون الأول 2020)، ص ص. 1-10، 10ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2020-03-28
دولة النشر
مصر
عدد الصفحات
10
التخصصات الرئيسية
الملخص EN
Prediction of DNA-binding proteins (DBPs) has become a popular research topic in protein science due to its crucial role in all aspects of biological activities.
Even though considerable efforts have been devoted to developing powerful computational methods to solve this problem, it is still a challenging task in the field of bioinformatics.
A hidden Markov model (HMM) profile has been proved to provide important clues for improving the prediction performance of DBPs.
In this paper, we propose a method, called HMMPred, which extracts the features of amino acid composition and auto- and cross-covariance transformation from the HMM profiles, to help train a machine learning model for identification of DBPs.
Then, a feature selection technique is performed based on the extreme gradient boosting (XGBoost) algorithm.
Finally, the selected optimal features are fed into a support vector machine (SVM) classifier to predict DBPs.
The experimental results tested on two benchmark datasets show that the proposed method is superior to most of the existing methods and could serve as an alternative tool to identify DBPs.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Sang, Xiuzhi& Xiao, Wanyue& Zheng, Huiwen& Yang, Yang& Liu, Taigang. 2020. HMMPred: Accurate Prediction of DNA-Binding Proteins Based on HMM Profiles and XGBoost Feature Selection. Computational and Mathematical Methods in Medicine،Vol. 2020, no. 2020, pp.1-10.
https://search.emarefa.net/detail/BIM-1139324
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Sang, Xiuzhi…[et al.]. HMMPred: Accurate Prediction of DNA-Binding Proteins Based on HMM Profiles and XGBoost Feature Selection. Computational and Mathematical Methods in Medicine No. 2020 (2020), pp.1-10.
https://search.emarefa.net/detail/BIM-1139324
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Sang, Xiuzhi& Xiao, Wanyue& Zheng, Huiwen& Yang, Yang& Liu, Taigang. HMMPred: Accurate Prediction of DNA-Binding Proteins Based on HMM Profiles and XGBoost Feature Selection. Computational and Mathematical Methods in Medicine. 2020. Vol. 2020, no. 2020, pp.1-10.
https://search.emarefa.net/detail/BIM-1139324
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1139324
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