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A Method for Identifying Vesicle Transport Proteins Based on LibSVM and MRMD
المؤلفون المشاركون
Li, Yanjuan
Teng, Zhixia
Tao, Zhiyu
Zhao, Yuming
المصدر
Computational and Mathematical Methods in Medicine
العدد
المجلد 2020، العدد 2020 (31 ديسمبر/كانون الأول 2020)، ص ص. 1-9، 9ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2020-10-19
دولة النشر
مصر
عدد الصفحات
9
التخصصات الرئيسية
الملخص EN
With the development of computer technology, many machine learning algorithms have been applied to the field of biology, forming the discipline of bioinformatics.
Protein function prediction is a classic research topic in this subject area.
Though many scholars have made achievements in identifying protein by different algorithms, they often extract a large number of feature types and use very complex classification methods to obtain little improvement in the classification effect, and this process is very time-consuming.
In this research, we attempt to utilize as few features as possible to classify vesicular transportation proteins and to simultaneously obtain a comparative satisfactory classification result.
We adopt CTDC which is a submethod of the method of composition, transition, and distribution (CTD) to extract only 39 features from each sequence, and LibSVM is used as the classification method.
We use the SMOTE method to deal with the problem of dataset imbalance.
There are 11619 protein sequences in our dataset.
We selected 4428 sequences to train our classification model and selected other 1832 sequences from our dataset to test the classification effect and finally achieved an accuracy of 71.77%.
After dimension reduction by MRMD, the accuracy is 72.16%.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Tao, Zhiyu& Li, Yanjuan& Teng, Zhixia& Zhao, Yuming. 2020. A Method for Identifying Vesicle Transport Proteins Based on LibSVM and MRMD. Computational and Mathematical Methods in Medicine،Vol. 2020, no. 2020, pp.1-9.
https://search.emarefa.net/detail/BIM-1139650
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Tao, Zhiyu…[et al.]. A Method for Identifying Vesicle Transport Proteins Based on LibSVM and MRMD. Computational and Mathematical Methods in Medicine No. 2020 (2020), pp.1-9.
https://search.emarefa.net/detail/BIM-1139650
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Tao, Zhiyu& Li, Yanjuan& Teng, Zhixia& Zhao, Yuming. A Method for Identifying Vesicle Transport Proteins Based on LibSVM and MRMD. Computational and Mathematical Methods in Medicine. 2020. Vol. 2020, no. 2020, pp.1-9.
https://search.emarefa.net/detail/BIM-1139650
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1139650
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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