LipoFNT: Lipoylation Sites Identification with Flexible Neural Tree
المؤلفون المشاركون
Chen, Yue-Hui
Yang, Bin
Bao, Wenzheng
Bao, Rong
المصدر
العدد
المجلد 2019، العدد 2019 (31 ديسمبر/كانون الأول 2019)، ص ص. 1-9، 9ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2019-07-14
دولة النشر
مصر
عدد الصفحات
9
التخصصات الرئيسية
الملخص EN
Lysine lipoylation is a special type of posttranslational modification in both prokaryotes’ and eukaryotes’ proteomics researches.
Such a modification takes part in several significant biological processions and plays a key role in the cellular level.
In order to construct and design an accurate classification algorithm for identifying lipoylation sites in the protein level, the computational approaches should be taken into account in this field.
Meanwhile, several factors plays different role in the identification of modification sites.
Considering such a situation, the foundational elements of the effective identification of modification sites are the available feature description and the high effective classification.
With these two elements, the distinguishing between the lipoylation samples and the nonlipoylation samples can be treated as a typical classification issue in the field of machine learning.
In this work, we have proposed a method named LipoFNT, which employed the two featuring sets, including the Position-Specific Scoring Matrix and bi-profile Bayesian, as the classification features.
And then, the flexible neural tree algorithm is utilized to deal with the imbalance classification issue in lipoylation modification sample dataset.
The proposed method can achieve 81.07% in sn%, 80.29% in sp, 80.68% in Acc, 0.8076 in F1, and 0.6136 in MCC, respectively.
Meanwhile, we have demonstrated the relationship between the lengths of peptide and identification of modification sites.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Bao, Wenzheng& Yang, Bin& Bao, Rong& Chen, Yue-Hui. 2019. LipoFNT: Lipoylation Sites Identification with Flexible Neural Tree. Complexity،Vol. 2019, no. 2019, pp.1-9.
https://search.emarefa.net/detail/BIM-1131079
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Bao, Wenzheng…[et al.]. LipoFNT: Lipoylation Sites Identification with Flexible Neural Tree. Complexity No. 2019 (2019), pp.1-9.
https://search.emarefa.net/detail/BIM-1131079
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Bao, Wenzheng& Yang, Bin& Bao, Rong& Chen, Yue-Hui. LipoFNT: Lipoylation Sites Identification with Flexible Neural Tree. Complexity. 2019. Vol. 2019, no. 2019, pp.1-9.
https://search.emarefa.net/detail/BIM-1131079
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1131079
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