A Novel Approach for Discovering Condition-Specific Correlations of Gene Expressions within Biological Pathways by Using Cloud Computing Technology
المؤلفون المشاركون
Wang, Wei-Jen
Wu, Shih-Lin
Chang, Tzu-Hao
Chang, Cheng-Wei
Horng, Jorng-Tzong
المصدر
العدد
المجلد 2014، العدد 2014 (31 ديسمبر/كانون الأول 2014)، ص ص. 1-8، 8ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2014-01-22
دولة النشر
مصر
عدد الصفحات
8
التخصصات الرئيسية
الملخص EN
Microarrays are widely used to assess gene expressions.
Most microarray studies focus primarily on identifying differential gene expressions between conditions (e.g., cancer versus normal cells), for discovering the major factors that cause diseases.
Because previous studies have not identified the correlations of differential gene expression between conditions, crucial but abnormal regulations that cause diseases might have been disregarded.
This paper proposes an approach for discovering the condition-specific correlations of gene expressions within biological pathways.
Because analyzing gene expression correlations is time consuming, an Apache Hadoop cloud computing platform was implemented.
Three microarray data sets of breast cancer were collected from the Gene Expression Omnibus, and pathway information from the Kyoto Encyclopedia of Genes and Genomes was applied for discovering meaningful biological correlations.
The results showed that adopting the Hadoop platform considerably decreased the computation time.
Several correlations of differential gene expressions were discovered between the relapse and nonrelapse breast cancer samples, and most of them were involved in cancer regulation and cancer-related pathways.
The results showed that breast cancer recurrence might be highly associated with the abnormal regulations of these gene pairs, rather than with their individual expression levels.
The proposed method was computationally efficient and reliable, and stable results were obtained when different data sets were used.
The proposed method is effective in identifying meaningful biological regulation patterns between conditions.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Chang, Tzu-Hao& Wu, Shih-Lin& Wang, Wei-Jen& Horng, Jorng-Tzong& Chang, Cheng-Wei. 2014. A Novel Approach for Discovering Condition-Specific Correlations of Gene Expressions within Biological Pathways by Using Cloud Computing Technology. BioMed Research International،Vol. 2014, no. 2014, pp.1-8.
https://search.emarefa.net/detail/BIM-496871
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Chang, Tzu-Hao…[et al.]. A Novel Approach for Discovering Condition-Specific Correlations of Gene Expressions within Biological Pathways by Using Cloud Computing Technology. BioMed Research International No. 2014 (2014), pp.1-8.
https://search.emarefa.net/detail/BIM-496871
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Chang, Tzu-Hao& Wu, Shih-Lin& Wang, Wei-Jen& Horng, Jorng-Tzong& Chang, Cheng-Wei. A Novel Approach for Discovering Condition-Specific Correlations of Gene Expressions within Biological Pathways by Using Cloud Computing Technology. BioMed Research International. 2014. Vol. 2014, no. 2014, pp.1-8.
https://search.emarefa.net/detail/BIM-496871
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-496871
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