Modeling Gene Networks in Saccharomyces cerevisiae Based on Gene Expression Profiles
المؤلفون المشاركون
Zhang, Yulin
Lv, Kebo
Wang, Shudong
Su, Jionglong
Meng, Dazhi
المصدر
Computational and Mathematical Methods in Medicine
العدد
المجلد 2015، العدد 2015 (31 ديسمبر/كانون الأول 2015)، ص ص. 1-10، 10ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2015-12-14
دولة النشر
مصر
عدد الصفحات
10
التخصصات الرئيسية
الملخص EN
Detailed and innovative analysis of gene regulatory network structures may reveal novel insights to biological mechanisms.
Here we study how gene regulatory network in Saccharomyces cerevisiae can differ under aerobic and anaerobic conditions.
To achieve this, we discretized the gene expression profiles and calculated the self-entropy of down- and upregulation of gene expression as well as joint entropy.
Based on these quantities the uncertainty coefficient was calculated for each gene triplet, following which, separate gene logic networks were constructed for the aerobic and anaerobic conditions.
Four structural parameters such as average degree, average clustering coefficient, average shortest path, and average betweenness were used to compare the structure of the corresponding aerobic and anaerobic logic networks.
Five genes were identified to be putative key components of the two energy metabolisms.
Furthermore, community analysis using the Newman fast algorithm revealed two significant communities for the aerobic but only one for the anaerobic network.
David Gene Functional Classification suggests that, under aerobic conditions, one such community reflects the cell cycle and cell replication, while the other one is linked to the mitochondrial respiratory chain function.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Zhang, Yulin& Lv, Kebo& Wang, Shudong& Su, Jionglong& Meng, Dazhi. 2015. Modeling Gene Networks in Saccharomyces cerevisiae Based on Gene Expression Profiles. Computational and Mathematical Methods in Medicine،Vol. 2015, no. 2015, pp.1-10.
https://search.emarefa.net/detail/BIM-1057955
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Zhang, Yulin…[et al.]. Modeling Gene Networks in Saccharomyces cerevisiae Based on Gene Expression Profiles. Computational and Mathematical Methods in Medicine No. 2015 (2015), pp.1-10.
https://search.emarefa.net/detail/BIM-1057955
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Zhang, Yulin& Lv, Kebo& Wang, Shudong& Su, Jionglong& Meng, Dazhi. Modeling Gene Networks in Saccharomyces cerevisiae Based on Gene Expression Profiles. Computational and Mathematical Methods in Medicine. 2015. Vol. 2015, no. 2015, pp.1-10.
https://search.emarefa.net/detail/BIM-1057955
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1057955
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