Pathway Network Analysis of Complex Diseases Based on Multiple Biological Networks
المؤلفون المشاركون
Zheng, Fang
Wei, Le
Zhao, Liang
Ni, FuChuan
المصدر
العدد
المجلد 2018، العدد 2018 (31 ديسمبر/كانون الأول 2018)، ص ص. 1-12، 12ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2018-07-30
دولة النشر
مصر
عدد الصفحات
12
التخصصات الرئيسية
الملخص EN
Biological pathways play important roles in the development of complex diseases, such as cancers, which are multifactorial complex diseases that are usually caused by multiple disorders gene mutations or pathway.
It has become one of the most important issues to analyze pathways combining multiple types of high-throughput data, such as genomics and proteomics, to understand the mechanisms of complex diseases.
In this paper, we propose a method for constructing the pathway network of gene phenotype and find out disease pathogenesis pathways through the analysis of the constructed network.
The specific process of constructing the network includes, firstly, similarity calculation between genes expressing data combined with phenotypic mutual information and GO ontology information, secondly, calculating the correlation between pathways based on the similarity between differential genes and constructing the pathway network, and, finally, mining critical pathways to identify diseases.
Experimental results on Breast Cancer Dataset using this method show that our method is better.
In addition, testing on an alternative dataset proved that the key pathways we found were more accurate and reliable as biological markers of disease.
These results show that our proposed method is effective.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Zheng, Fang& Wei, Le& Zhao, Liang& Ni, FuChuan. 2018. Pathway Network Analysis of Complex Diseases Based on Multiple Biological Networks. BioMed Research International،Vol. 2018, no. 2018, pp.1-12.
https://search.emarefa.net/detail/BIM-1127407
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Zheng, Fang…[et al.]. Pathway Network Analysis of Complex Diseases Based on Multiple Biological Networks. BioMed Research International No. 2018 (2018), pp.1-12.
https://search.emarefa.net/detail/BIM-1127407
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Zheng, Fang& Wei, Le& Zhao, Liang& Ni, FuChuan. Pathway Network Analysis of Complex Diseases Based on Multiple Biological Networks. BioMed Research International. 2018. Vol. 2018, no. 2018, pp.1-12.
https://search.emarefa.net/detail/BIM-1127407
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1127407
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