Incorporating Natural Language-Based and Sequence-Based Features to Predict Protein Sumoylation Sites

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Incorporating Natural Language-Based and Sequence-Based Features to Predict Protein Sumoylation Sites

Lecture Notes in Networks and Systems (LNNS, volume 734); CITA: Conference on Information Technology and its Applications; pp: 74-88.

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Dettagli Bibliografici
Autori principali:	Tran, Thi Xuan, Nguyen, Van Nui, Le, Nguyen Quoc Khanh
Natura:	Bài viết
Lingua:	English
Pubblicazione:	Springer Nature 2023
Soggetti:	SUMOylation sites prediction Machine Learning Word2Vec Random forest XGBoost SVM
Accesso online:	https://link.springer.com/chapter/10.1007/978-3-031-36886-8_7 http://elib.vku.udn.vn/handle/123456789/2745
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