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A Novel Approach for Predicting Disease-lncRNA Associations Based on the Distance Correlation Set and Information of the miRNAs
المؤلفون المشاركون
Wang, Lei
Xuan, Zhanwei
Zhao, Haochen
Kuang, Linai
المصدر
Computational and Mathematical Methods in Medicine
العدد
المجلد 2018، العدد 2018 (31 ديسمبر/كانون الأول 2018)، ص ص. 1-12، 12ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2018-06-26
دولة النشر
مصر
عدد الصفحات
12
التخصصات الرئيسية
الملخص EN
Recently, accumulating laboratorial studies have indicated that plenty of long noncoding RNAs (lncRNAs) play important roles in various biological processes and are associated with many complex human diseases.
Therefore, developing powerful computational models to predict correlation between lncRNAs and diseases based on heterogeneous biological datasets will be important.
However, there are few approaches to calculating and analyzing lncRNA-disease associations on the basis of information about miRNAs.
In this article, a new computational method based on distance correlation set is developed to predict lncRNA-disease associations (DCSLDA).
Comparing with existing state-of-the-art methods, we found that the major novelty of DCSLDA lies in the introduction of lncRNA-miRNA-disease network and distance correlation set; thus DCSLDA can be applied to predict potential lncRNA-disease associations without requiring any known disease-lncRNA associations.
Simulation results show that DCSLDA can significantly improve previous existing models with reliable AUC of 0.8517 in the leave-one-out cross-validation.
Furthermore, while implementing DCSLDA to prioritize candidate lncRNAs for three important cancers, in the first 0.5% of forecast results, 17 predicted associations are verified by other independent studies and biological experimental studies.
Hence, it is anticipated that DCSLDA could be a great addition to the biomedical research field.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Zhao, Haochen& Kuang, Linai& Wang, Lei& Xuan, Zhanwei. 2018. A Novel Approach for Predicting Disease-lncRNA Associations Based on the Distance Correlation Set and Information of the miRNAs. Computational and Mathematical Methods in Medicine،Vol. 2018, no. 2018, pp.1-12.
https://search.emarefa.net/detail/BIM-1132101
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Zhao, Haochen…[et al.]. A Novel Approach for Predicting Disease-lncRNA Associations Based on the Distance Correlation Set and Information of the miRNAs. Computational and Mathematical Methods in Medicine No. 2018 (2018), pp.1-12.
https://search.emarefa.net/detail/BIM-1132101
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Zhao, Haochen& Kuang, Linai& Wang, Lei& Xuan, Zhanwei. A Novel Approach for Predicting Disease-lncRNA Associations Based on the Distance Correlation Set and Information of the miRNAs. Computational and Mathematical Methods in Medicine. 2018. Vol. 2018, no. 2018, pp.1-12.
https://search.emarefa.net/detail/BIM-1132101
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1132101
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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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
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