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Correlation-Based Network Generation, Visualization, and Analysis as a Powerful Tool in Biological Studies: A Case Study in Cancer Cell Metabolism
المؤلفون المشاركون
Batushansky, Albert
Toubiana, David
Fait, Aaron
المصدر
العدد
المجلد 2016، العدد 2016 (31 ديسمبر/كانون الأول 2016)، ص ص. 1-9، 9ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2016-10-19
دولة النشر
مصر
عدد الصفحات
9
التخصصات الرئيسية
الملخص EN
In the last decade vast data sets are being generated in biological and medical studies.
The challenge lies in their summary, complexity reduction, and interpretation.
Correlation-based networks and graph-theory based properties of this type of networks can be successfully used during this process.
However, the procedure has its pitfalls and requires specific knowledge that often lays beyond classical biology and includes many computational tools and software.
Here we introduce one of a series of methods for correlation-based network generation and analysis using freely available software.
The pipeline allows the user to control each step of the network generation and provides flexibility in selection of correlation methods and thresholds.
The pipeline was implemented on published metabolomics data of a population of human breast carcinoma cell lines MDA-MB-231 under two conditions: normal and hypoxia.
The analysis revealed significant differences between the metabolic networks in response to the tested conditions.
The network under hypoxia had 1.7 times more significant correlations between metabolites, compared to normal conditions.
Unique metabolic interactions were identified which could lead to the identification of improved markers or aid in elucidating the mechanism of regulation between distantly related metabolites induced by the cancer growth.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Batushansky, Albert& Toubiana, David& Fait, Aaron. 2016. Correlation-Based Network Generation, Visualization, and Analysis as a Powerful Tool in Biological Studies: A Case Study in Cancer Cell Metabolism. BioMed Research International،Vol. 2016, no. 2016, pp.1-9.
https://search.emarefa.net/detail/BIM-1099027
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Batushansky, Albert…[et al.]. Correlation-Based Network Generation, Visualization, and Analysis as a Powerful Tool in Biological Studies: A Case Study in Cancer Cell Metabolism. BioMed Research International No. 2016 (2016), pp.1-9.
https://search.emarefa.net/detail/BIM-1099027
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Batushansky, Albert& Toubiana, David& Fait, Aaron. Correlation-Based Network Generation, Visualization, and Analysis as a Powerful Tool in Biological Studies: A Case Study in Cancer Cell Metabolism. BioMed Research International. 2016. Vol. 2016, no. 2016, pp.1-9.
https://search.emarefa.net/detail/BIM-1099027
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1099027
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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