Two-way gene interaction from microarray data based on correlation methods
المؤلفون المشاركون
Alawi, Majid Hamid
Talibi, Atifah
Gilany, Kambiz
Khayyer, Nasibeh
المصدر
Iranian Red Crescent Medical Journal
العدد
المجلد 18، العدد 6 (30 يونيو/حزيران 2016)، ص ص. 1-8، 8ص.
الناشر
تاريخ النشر
2016-06-30
دولة النشر
الإمارات العربية المتحدة
عدد الصفحات
8
التخصصات الرئيسية
الملخص EN
Background : Gene networks have generated a massive explosion in the development of high-throughput techniques for monitoring various aspects of gene activity.
Networks offer a natural way to model interactions between genes, and extracting gene network information from high-throughput genomic data is an important and difficult task.
Objectives : The purpose of this study is to construct a two-way gene network based on parametric and nonparametric correlation coefficients.
The first step in constructing a Gene Co-expression Network is to score all pairs of gene vectors.
The second step is to select a score threshold and connect all gene pairs whose scores exceed this value.
Materials and Methods: In the foundation-application study, we constructed two-way gene networks using nonparametric methods, such as Spearman’s rank correlation coefficient and Blomqvist’s measure, and compared them with Pearson’s correlation coefficient.
We surveyed six genes of venous thrombosis disease, made a matrix entry representing the score for the corresponding gene pair, and obtained two-way interactions using Pearson’s correlation, Spearman’s rank correlation, and Blomqvist’s coefficient.
Finally, these methods were compared with Cytoscape, based onBIND, and Gene Ontology, based onmolecular function visual methods; R software version 3.2 and Bioconductor were used to perform these methods.
Results : Basedonthe Pearson and Spearman correlations, the results were thesameand wereconfirmedby Cytoscape andGOvisual methods ; however, Blomqvist’s coefficient was not confirmed by visual methods.
Conclusions: Some results of the correlation coefficients are not the same with visualization.
The reason may be due to the small number of data
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Alawi, Majid Hamid& Talibi, Atifah& Gilany, Kambiz& Khayyer, Nasibeh. 2016. Two-way gene interaction from microarray data based on correlation methods. Iranian Red Crescent Medical Journal،Vol. 18, no. 6, pp.1-8.
https://search.emarefa.net/detail/BIM-701221
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Alawi, Majid Hamid…[et al.]. Two-way gene interaction from microarray data based on correlation methods. Iranian Red Crescent Medical Journal Vol. 18, no. 6 (Jun. 2016), pp.1-8.
https://search.emarefa.net/detail/BIM-701221
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Alawi, Majid Hamid& Talibi, Atifah& Gilany, Kambiz& Khayyer, Nasibeh. Two-way gene interaction from microarray data based on correlation methods. Iranian Red Crescent Medical Journal. 2016. Vol. 18, no. 6, pp.1-8.
https://search.emarefa.net/detail/BIM-701221
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references : p. 7-8
رقم السجل
BIM-701221
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