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A Novel Approach for Protein-Named Entity Recognition and Protein-Protein Interaction Extraction
المؤلفون المشاركون
Munkhdalai, Tsendsuren
Yu, Xiuming
Li, Meijing
Ryu, Keun Ho
المصدر
Mathematical Problems in Engineering
العدد
المجلد 2015، العدد 2015 (31 ديسمبر/كانون الأول 2015)، ص ص. 1-10، 10ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2015-10-19
دولة النشر
مصر
عدد الصفحات
10
التخصصات الرئيسية
الملخص EN
Many researchers focus on developing protein-named entity recognition (Protein-NER) or PPI extraction systems.
However, the studies about these two topics cannot be merged well; then existing PPI extraction systems’ Protein-NER still needs to improve.
In this paper, we developed the protein-protein interaction extraction system named PPIMiner based on Support Vector Machine (SVM) and parsing tree.
PPIMiner consists of three main models: natural language processing (NLP) model, Protein-NER model, and PPI discovery model.
The Protein-NER model, which is named ProNER, identifies the protein names based on two methods: dictionary-based method and machine learning-based method.
ProNER is capable of identifying more proteins than dictionary-based Protein-NER model in other existing systems.
The final discovered PPIs extracted via PPI discovery model are represented in detail because we showed the protein interaction types and the occurrence frequency through two different methods.
In the experiments, the result shows that the performances achieved by our ProNER and PPI discovery model are better than other existing tools.
PPIMiner applied this protein-named entity recognition approach and parsing tree based PPI extraction method to improve the performance of PPI extraction.
We also provide an easy-to-use interface to access PPIs database and an online system for PPIs extraction and Protein-NER.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Li, Meijing& Munkhdalai, Tsendsuren& Yu, Xiuming& Ryu, Keun Ho. 2015. A Novel Approach for Protein-Named Entity Recognition and Protein-Protein Interaction Extraction. Mathematical Problems in Engineering،Vol. 2015, no. 2015, pp.1-10.
https://search.emarefa.net/detail/BIM-1075132
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Li, Meijing…[et al.]. A Novel Approach for Protein-Named Entity Recognition and Protein-Protein Interaction Extraction. Mathematical Problems in Engineering No. 2015 (2015), pp.1-10.
https://search.emarefa.net/detail/BIM-1075132
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Li, Meijing& Munkhdalai, Tsendsuren& Yu, Xiuming& Ryu, Keun Ho. A Novel Approach for Protein-Named Entity Recognition and Protein-Protein Interaction Extraction. Mathematical Problems in Engineering. 2015. Vol. 2015, no. 2015, pp.1-10.
https://search.emarefa.net/detail/BIM-1075132
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1075132
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
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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
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