این سایت در حال حاضر پشتیبانی نمی شود و امکان دارد داده های نشریات بروز نباشند
Iranian Biomedical Journal، جلد ۲۳، شماره ۳، صفحات ۱۷۵-۱۸۳
عنوان فارسی
چکیده فارسی مقاله
کلیدواژه‌های فارسی مقاله
عنوان انگلیسی Application of Artificial Neural Network in miRNA Biomarker Selection and Precise Diagnosis of Colorectal Cancer
چکیده انگلیسی مقاله Background: The early diagnosis of colorectal cancer (CRC) is associated with improved survival rates, and development of novel non-invasive, sensitive, and specific diagnostic tests is highly demanded. The objective of this paper was to identify commonly circulating microRNA (miRNA) biomarkers for use in CRC diagnosis. Methods: For this purpose, an artificial neural network (ANN) model was proposed. Among miRNAs retrieved from the Gene Expression Omnibus dataset, four miRNAs with the best miRNA score were selected by ANN units. Results: The simulation results showed that the designed ANN model could accurately classify the sample data into cancerous or non-cancerous. Furthermore, based on the results of evaluated ANN model, the area under the ROC curve (AUC) of the designed ANN model as well as the regression coefficient between the output of the ANN and the expected output was one. The confusion matrix of the ANN model indicated that all non-cancerous patients were predicted as normal, and the cancerous patients as cancerous. Conclusion: Our findings suggest that the improved model can be used as a robust prediction toolbox for cancer diagnosis. In conclusion, by using ANN, circulatory miRNAs can be used as a non-invasive, sensitive and specific diagnostic marker. 
کلیدواژه‌های انگلیسی مقاله
نویسندگان مقاله | Saeid Afshar
Research Center for Molecular Medicine, Hamadan University of Medical Science, Hamadan, Iran

| Sepideh Afshar
Wellman Center for Photomedicine, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts 02114, USA


| Emily Warden
Wellman Center for Photomedicine, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts 02114, USA


| Hamed Manochehri
Research Center for Molecular Medicine, Hamadan University of Medical Science, Hamadan, Iran


| Massoud Saidijam
Research Center for Molecular Medicine, Hamadan University of Medical Science, Hamadan, Iran
نشانی اینترنتی http://ibj.pasteur.ac.ir/browse.php?a_code=A-10-1-743&slc_lang=en&sid=1
فایل مقاله اشکال در دسترسی به فایل - ./files/site1/rds_journals/125/article-125-1398129.pdf
کد مقاله (doi)
زبان مقاله منتشر شده en
موضوعات مقاله منتشر شده Cancer Biology
نوع مقاله منتشر شده مقاله کامل
برگشت به: صفحه اول پایگاه   |   نسخه مرتبط   |   نشریه مرتبط   |   فهرست نشریات