Identification of Latent Oncogenes with a Network Embedding Method and Random Forest
المؤلفون المشاركون
Zhao, Ran
Chen, Lei
Zhou, Bo
Hu, Bin
المصدر
العدد
المجلد 2020، العدد 2020 (31 ديسمبر/كانون الأول 2020)، ص ص. 1-11، 11ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2020-09-23
دولة النشر
مصر
عدد الصفحات
11
التخصصات الرئيسية
الملخص EN
Oncogene is a special type of genes, which can promote the tumor initiation.
Good study on oncogenes is helpful for understanding the cause of cancers.
Experimental techniques in early time are quite popular in detecting oncogenes.
However, their defects become more and more evident in recent years, such as high cost and long time.
The newly proposed computational methods provide an alternative way to study oncogenes, which can provide useful clues for further investigations on candidate genes.
Considering the limitations of some previous computational methods, such as lack of learning procedures and terming genes as individual subjects, a novel computational method was proposed in this study.
The method adopted the features derived from multiple protein networks, viewing proteins in a system level.
A classic machine learning algorithm, random forest, was applied on these features to capture the essential characteristic of oncogenes, thereby building the prediction model.
All genes except validated oncogenes were ranked with a measurement yielded by the prediction model.
Top genes were quite different from potential oncogenes discovered by previous methods, and they can be confirmed to become novel oncogenes.
It was indicated that the newly identified genes can be essential supplements for previous results.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Zhao, Ran& Hu, Bin& Chen, Lei& Zhou, Bo. 2020. Identification of Latent Oncogenes with a Network Embedding Method and Random Forest. BioMed Research International،Vol. 2020, no. 2020, pp.1-11.
https://search.emarefa.net/detail/BIM-1134529
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Zhao, Ran…[et al.]. Identification of Latent Oncogenes with a Network Embedding Method and Random Forest. BioMed Research International No. 2020 (2020), pp.1-11.
https://search.emarefa.net/detail/BIM-1134529
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Zhao, Ran& Hu, Bin& Chen, Lei& Zhou, Bo. Identification of Latent Oncogenes with a Network Embedding Method and Random Forest. BioMed Research International. 2020. Vol. 2020, no. 2020, pp.1-11.
https://search.emarefa.net/detail/BIM-1134529
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1134529
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