Integration Strategy Is a Key Step in Network-Based Analysis and Dramatically Affects Network Topological Properties and Inferring Outcomes
المؤلفون المشاركون
Bi, Xiaoman
Li, Kongning
Wang, Qianghu
Jin, Nana
Wu, Deng
Gong, Yonghui
Jiang, Hong
المصدر
العدد
المجلد 2014، العدد 2014 (31 ديسمبر/كانون الأول 2014)، ص ص. 1-13، 13ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2014-08-27
دولة النشر
مصر
عدد الصفحات
13
التخصصات الرئيسية
الملخص EN
An increasing number of experiments have been designed to detect intracellular and intercellular molecular interactions.
Based on these molecular interactions (especially protein interactions), molecular networks have been built for using in several typical applications, such as the discovery of new disease genes and the identification of drug targets and molecular complexes.
Because the data are incomplete and a considerable number of false-positive interactions exist, protein interactions from different sources are commonly integrated in network analyses to build a stable molecular network.
Although various types of integration strategies are being applied in current studies, the topological properties of the networks from these different integration strategies, especially typical applications based on these network integration strategies, have not been rigorously evaluated.
In this paper, systematic analyses were performed to evaluate 11 frequently used methods using two types of integration strategies: empirical and machine learning methods.
The topological properties of the networks of these different integration strategies were found to significantly differ.
Moreover, these networks were found to dramatically affect the outcomes of typical applications, such as disease gene predictions, drug target detections, and molecular complex identifications.
The analysis presented in this paper could provide an important basis for future network-based biological researches.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Jin, Nana& Wu, Deng& Gong, Yonghui& Bi, Xiaoman& Jiang, Hong& Li, Kongning…[et al.]. 2014. Integration Strategy Is a Key Step in Network-Based Analysis and Dramatically Affects Network Topological Properties and Inferring Outcomes. BioMed Research International،Vol. 2014, no. 2014, pp.1-13.
https://search.emarefa.net/detail/BIM-1034422
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Jin, Nana…[et al.]. Integration Strategy Is a Key Step in Network-Based Analysis and Dramatically Affects Network Topological Properties and Inferring Outcomes. BioMed Research International No. 2014 (2014), pp.1-13.
https://search.emarefa.net/detail/BIM-1034422
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Jin, Nana& Wu, Deng& Gong, Yonghui& Bi, Xiaoman& Jiang, Hong& Li, Kongning…[et al.]. Integration Strategy Is a Key Step in Network-Based Analysis and Dramatically Affects Network Topological Properties and Inferring Outcomes. BioMed Research International. 2014. Vol. 2014, no. 2014, pp.1-13.
https://search.emarefa.net/detail/BIM-1034422
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1034422
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