A Novel Neighborhood-Based Computational Model for Potential MiRNA-Disease Association Prediction
المؤلفون المشاركون
Liu, Yang
Li, Xueyong
Feng, Xiang
Wang, Lei
المصدر
Computational and Mathematical Methods in Medicine
العدد
المجلد 2019، العدد 2019 (31 ديسمبر/كانون الأول 2019)، ص ص. 1-10، 10ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2019-01-17
دولة النشر
مصر
عدد الصفحات
10
التخصصات الرئيسية
الملخص EN
In recent years, more and more studies have shown that miRNAs can affect a variety of biological processes.
It is important for disease prevention, treatment, diagnosis, and prognosis to study the relationships between human diseases and miRNAs.
However, traditional experimental methods are time-consuming and labour-intensive.
Hence, in this paper, a novel neighborhood-based computational model called NBMDA is proposed for predicting potential miRNA-disease associations.
Due to the fact that known miRNA-disease associations are very rare and many diseases (or miRNAs) are associated with only one or a few miRNAs (or diseases), in NBMDA, the K-nearest neighbor (KNN) method is utilized as a recommendation algorithm based on known miRNA-disease associations, miRNA functional similarity, disease semantic similarity, and Gaussian interaction profile kernel similarity for miRNAs and diseases to improve its prediction accuracy.
And simulation results demonstrate that NBMDA can effectively infer miRNA-disease associations with higher accuracy compared with previous state-of-the-art methods.
Moreover, independent case studies of esophageal neoplasms, breast neoplasms and colon neoplasms are further implemented, and as a result, there are 47, 48, and 48 out of the top 50 predicted miRNAs having been successfully confirmed by the previously published literatures, which also indicates that NBMDA can be utilized as a powerful tool to study the relationships between miRNAs and diseases.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Liu, Yang& Li, Xueyong& Feng, Xiang& Wang, Lei. 2019. A Novel Neighborhood-Based Computational Model for Potential MiRNA-Disease Association Prediction. Computational and Mathematical Methods in Medicine،Vol. 2019, no. 2019, pp.1-10.
https://search.emarefa.net/detail/BIM-1130602
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Liu, Yang…[et al.]. A Novel Neighborhood-Based Computational Model for Potential MiRNA-Disease Association Prediction. Computational and Mathematical Methods in Medicine No. 2019 (2019), pp.1-10.
https://search.emarefa.net/detail/BIM-1130602
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Liu, Yang& Li, Xueyong& Feng, Xiang& Wang, Lei. A Novel Neighborhood-Based Computational Model for Potential MiRNA-Disease Association Prediction. Computational and Mathematical Methods in Medicine. 2019. Vol. 2019, no. 2019, pp.1-10.
https://search.emarefa.net/detail/BIM-1130602
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1130602
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