Identification of Candidate Genes Related to Inflammatory Bowel Disease Using Minimum Redundancy Maximum Relevance, Incremental Feature Selection, and the Shortest-Path Approach
المؤلفون المشاركون
Zhang, Yu-Hang
Cai, Yu-Dong
Yuan, Fei
Kong, Xiangyin
المصدر
العدد
المجلد 2017، العدد 2017 (31 ديسمبر/كانون الأول 2017)، ص ص. 1-15، 15ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2017-02-14
دولة النشر
مصر
عدد الصفحات
15
التخصصات الرئيسية
الملخص EN
Identification of disease genes is a hot topic in biomedicine and genomics.
However, it is a challenging problem because of the complexity of diseases.
Inflammatory bowel disease (IBD) is an idiopathic disease caused by a dysregulated immune response to host intestinal microflora.
It has been proven to be associated with the development of intestinal malignancies.
Although the specific pathological characteristics and genetic background of IBD have been partially revealed, it is still an overdetermined disease and the blueprint of all genetic variants still needs to be improved.
In this study, a novel computational method was built to identify genes related to IBD.
Samples from two subtypes of IBD (ulcerative colitis and Crohn’s disease) and normal samples were employed.
By analyzing the gene expression profiles of these samples using minimum redundancy maximum relevance and incremental feature selection, 21 genes were obtained that could effectively distinguish samples from the two subtypes of IBD and the normal samples.
Then, the shortest-path approach was used to search for an additional 20 genes in a large network constructed using protein-protein interactions based on the above-mentioned 21 genes.
Analyses of the 41 genes obtained indicate that they are closely associated with this disease.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Yuan, Fei& Zhang, Yu-Hang& Kong, Xiangyin& Cai, Yu-Dong. 2017. Identification of Candidate Genes Related to Inflammatory Bowel Disease Using Minimum Redundancy Maximum Relevance, Incremental Feature Selection, and the Shortest-Path Approach. BioMed Research International،Vol. 2017, no. 2017, pp.1-15.
https://search.emarefa.net/detail/BIM-1137741
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Yuan, Fei…[et al.]. Identification of Candidate Genes Related to Inflammatory Bowel Disease Using Minimum Redundancy Maximum Relevance, Incremental Feature Selection, and the Shortest-Path Approach. BioMed Research International No. 2017 (2017), pp.1-15.
https://search.emarefa.net/detail/BIM-1137741
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Yuan, Fei& Zhang, Yu-Hang& Kong, Xiangyin& Cai, Yu-Dong. Identification of Candidate Genes Related to Inflammatory Bowel Disease Using Minimum Redundancy Maximum Relevance, Incremental Feature Selection, and the Shortest-Path Approach. BioMed Research International. 2017. Vol. 2017, no. 2017, pp.1-15.
https://search.emarefa.net/detail/BIM-1137741
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1137741
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