Prediction of Protein-Protein Interactions from Protein Sequences by Combining MatPCA Feature Extraction Algorithms and Weighted Sparse Representation Models
المؤلفون المشاركون
You, Zhu-Hong
Zhan, Xinke
Li, Liping
Wang, Zheng
Li, Yang
Pan, Jie
المصدر
Mathematical Problems in Engineering
العدد
المجلد 2020، العدد 2020 (31 ديسمبر/كانون الأول 2020)، ص ص. 1-11، 11ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2020-09-24
دولة النشر
مصر
عدد الصفحات
11
التخصصات الرئيسية
الملخص EN
Identifying protein-protein interactions (PPIs) plays a vital role in a number of biological activities such as signal transduction, transcriptional regulation, and apoptosis.
Although advances in high-throughput technologies have generated large amounts of PPI data for different species, they only cover a small part of the entire PPI network.
Furthermore, traditional experimental methods are generally expensive, time-consuming, tedious, and prone to high false-positive rates.
Therefore, to overcome this problem, it is necessary to develop a novel computational method for predicting PPIs.
In this article, we propose an efficient computational method to detect protein-protein interactions using only protein sequence information, which integrates the MatPCA feature extraction algorithm and the weighted sparse representation classifier.
As a result, when predicting PPIs on yeast, human, and H.
pylori datasets, the proposed method achieves superior prediction performance with an average accuracy of 94.55%, 97.48%, and 83.64%, respectively.
These experimental results further illustrate that the proposed method is reliable and robust in predicting PPIs, which can be regarded as a useful complement to the experimental method.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Wang, Zheng& Li, Yang& You, Zhu-Hong& Li, Liping& Zhan, Xinke& Pan, Jie. 2020. Prediction of Protein-Protein Interactions from Protein Sequences by Combining MatPCA Feature Extraction Algorithms and Weighted Sparse Representation Models. Mathematical Problems in Engineering،Vol. 2020, no. 2020, pp.1-11.
https://search.emarefa.net/detail/BIM-1196252
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Wang, Zheng…[et al.]. Prediction of Protein-Protein Interactions from Protein Sequences by Combining MatPCA Feature Extraction Algorithms and Weighted Sparse Representation Models. Mathematical Problems in Engineering No. 2020 (2020), pp.1-11.
https://search.emarefa.net/detail/BIM-1196252
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Wang, Zheng& Li, Yang& You, Zhu-Hong& Li, Liping& Zhan, Xinke& Pan, Jie. Prediction of Protein-Protein Interactions from Protein Sequences by Combining MatPCA Feature Extraction Algorithms and Weighted Sparse Representation Models. Mathematical Problems in Engineering. 2020. Vol. 2020, no. 2020, pp.1-11.
https://search.emarefa.net/detail/BIM-1196252
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1196252
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