The Correlation-Base-Selection Algorithm for Diagnostic Schizophrenia Based on Blood-Based Gene Expression Signatures
المؤلفون المشاركون
Zhang, Bao
Zhang, Hang
Xie, Ziyang
Yang, Yuwen
Zhao, Yizhen
Fang, Jing
المصدر
العدد
المجلد 2017، العدد 2017 (31 ديسمبر/كانون الأول 2017)، ص ص. 1-7، 7ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2017-02-09
دولة النشر
مصر
عدد الصفحات
7
التخصصات الرئيسية
الملخص EN
Microarray analysis of gene expression is often used to diagnose different types of disease.
Many studies report remarkable achievements in nervous system disease.
Clinical diagnosis of schizophrenia (SCZ) still depends on doctors’ experience, which is unreliable and needs to be more objective and quantified.
To solve this problem, we collected whole blood gene expression data from four studies, including 152 individuals with schizophrenia (SCZ) and 138 normal controls in different regions.
The correlation-based feature selection (CFS, one of the machine learning methods) algorithm was applied in this study, and 103 significantly differentially expressed genes between patients and controls, called “feature genes,” were selected; then, a model for SCZ diagnosis was built.
The samples were subdivided into 10 groups, and cross-validation showed that the model we constructed achieved nearly 100% classification accuracy.
Mathematical evaluation of the datasets before and after data processing proved the effectiveness of our algorithm.
Feature genes were enriched in Parkinson’s disease, oxidative phosphorylation, and TGF-beta signaling pathways, which were previously reported to be associated with SCZ.
These results suggest that the analysis of gene expression in whole blood by our model could be a useful tool for diagnosing SCZ.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Zhang, Hang& Xie, Ziyang& Yang, Yuwen& Zhao, Yizhen& Zhang, Bao& Fang, Jing. 2017. The Correlation-Base-Selection Algorithm for Diagnostic Schizophrenia Based on Blood-Based Gene Expression Signatures. BioMed Research International،Vol. 2017, no. 2017, pp.1-7.
https://search.emarefa.net/detail/BIM-1138754
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Zhang, Hang…[et al.]. The Correlation-Base-Selection Algorithm for Diagnostic Schizophrenia Based on Blood-Based Gene Expression Signatures. BioMed Research International No. 2017 (2017), pp.1-7.
https://search.emarefa.net/detail/BIM-1138754
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Zhang, Hang& Xie, Ziyang& Yang, Yuwen& Zhao, Yizhen& Zhang, Bao& Fang, Jing. The Correlation-Base-Selection Algorithm for Diagnostic Schizophrenia Based on Blood-Based Gene Expression Signatures. BioMed Research International. 2017. Vol. 2017, no. 2017, pp.1-7.
https://search.emarefa.net/detail/BIM-1138754
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1138754
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