A Bayesian Approach for Decision Making on the Identification of Genes with Different Expression Levels : An Application to Escherichia coli Bacterium Data
المؤلفون المشاركون
Cobre, Juliana
Milan, Luís A.
Saraiva, Erlandson F.
Meira, Silvana
Louzada, Francisco
المصدر
Computational and Mathematical Methods in Medicine
العدد
المجلد 2012، العدد 2012 (31 ديسمبر/كانون الأول 2012)، ص ص. 1-13، 13ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2012-03-05
دولة النشر
مصر
عدد الصفحات
13
التخصصات الرئيسية
الملخص EN
A common interest in gene expression data analysis is to identify from a large pool of candidate genes the genes that present significant changes in expression levels between a treatment and a control biological condition.
Usually, it is done using a statistic value and a cutoff value that are used to separate the genes differentially and nondifferentially expressed.
In this paper, we propose a Bayesian approach to identify genes differentially expressed calculating sequentially credibility intervals from predictive densities which are constructed using the sampled mean treatment effect from all genes in study excluding the treatment effect of genes previously identified with statistical evidence for difference.
We compare our Bayesian approach with the standard ones based on the use of the t-test and modified t-tests via a simulation study, using small sample sizes which are common in gene expression data analysis.
Results obtained report evidence that the proposed approach performs better than standard ones, especially for cases with mean differences and increases in treatment variance in relation to control variance.
We also apply the methodologies to a well-known publicly available data set on Escherichia coli bacterium.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Saraiva, Erlandson F.& Louzada, Francisco& Milan, Luís A.& Meira, Silvana& Cobre, Juliana. 2012. A Bayesian Approach for Decision Making on the Identification of Genes with Different Expression Levels : An Application to Escherichia coli Bacterium Data. Computational and Mathematical Methods in Medicine،Vol. 2012, no. 2012, pp.1-13.
https://search.emarefa.net/detail/BIM-511019
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Saraiva, Erlandson F.…[et al.]. A Bayesian Approach for Decision Making on the Identification of Genes with Different Expression Levels : An Application to Escherichia coli Bacterium Data. Computational and Mathematical Methods in Medicine No. 2012 (2012), pp.1-13.
https://search.emarefa.net/detail/BIM-511019
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Saraiva, Erlandson F.& Louzada, Francisco& Milan, Luís A.& Meira, Silvana& Cobre, Juliana. A Bayesian Approach for Decision Making on the Identification of Genes with Different Expression Levels : An Application to Escherichia coli Bacterium Data. Computational and Mathematical Methods in Medicine. 2012. Vol. 2012, no. 2012, pp.1-13.
https://search.emarefa.net/detail/BIM-511019
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-511019
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