Applications of Bayesian Gene Selection and Classification with Mixtures of Generalized Singular g-Priors
المؤلفون المشاركون
Hsiao, Chuhsing Kate
Chien, Wen-Kuei
المصدر
Computational and Mathematical Methods in Medicine
العدد
المجلد 2013، العدد 2013 (31 ديسمبر/كانون الأول 2013)، ص ص. 1-11، 11ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2013-12-08
دولة النشر
مصر
عدد الصفحات
11
التخصصات الرئيسية
الملخص EN
Recent advancement in microarray technologies has led to a collection of an enormous number of genetic markers in disease association studies, and yet scientists are interested in selecting a smaller set of genes to explore the relation between genes and disease.
Current approaches either adopt a single marker test which ignores the possible interaction among genes or consider a multistage procedure that reduces the large size of genes before evaluation of the association.
Among the latter, Bayesian analysis can further accommodate the correlation between genes through the specification of a multivariate prior distribution and estimate the probabilities of association through latent variables.
The covariance matrix, however, depends on an unknown parameter.
In this research, we suggested a reference hyperprior distribution for such uncertainty, outlined the implementation of its computation, and illustrated this fully Bayesian approach with a colon and leukemia cancer study.
Comparison with other existing methods was also conducted.
The classification accuracy of our proposed model is higher with a smaller set of selected genes.
The results not only replicated findings in several earlier studies, but also provided the strength of association with posterior probabilities.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Chien, Wen-Kuei& Hsiao, Chuhsing Kate. 2013. Applications of Bayesian Gene Selection and Classification with Mixtures of Generalized Singular g-Priors. Computational and Mathematical Methods in Medicine،Vol. 2013, no. 2013, pp.1-11.
https://search.emarefa.net/detail/BIM-470820
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Chien, Wen-Kuei& Hsiao, Chuhsing Kate. Applications of Bayesian Gene Selection and Classification with Mixtures of Generalized Singular g-Priors. Computational and Mathematical Methods in Medicine No. 2013 (2013), pp.1-11.
https://search.emarefa.net/detail/BIM-470820
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Chien, Wen-Kuei& Hsiao, Chuhsing Kate. Applications of Bayesian Gene Selection and Classification with Mixtures of Generalized Singular g-Priors. Computational and Mathematical Methods in Medicine. 2013. Vol. 2013, no. 2013, pp.1-11.
https://search.emarefa.net/detail/BIM-470820
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-470820
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