An Encoding Scheme Capturing Generic Priors and Properties of Amino Acids Improves Protein Classification

An Encoding Scheme Capturing Generic Priors and Properties of Amino Acids Improves Protein Classification

Feature engineering aims at representing non-numeric data with numeric features that keep the essential information of the underlying problem, and it is a non-trivial process in building a predictive model. In bioinformatics, there is a profound scale of DNA and protein sequences available, but far...

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Bibliographic Details
Main Authors: Xinrui Zhou, Rui Yin, Jie Zheng, Chee-Keong Kwoh
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Encoding scheme
feature engineering
information representation
machine learning
Online Access:https://ieeexplore.ieee.org/document/8594660/

Internet

https://ieeexplore.ieee.org/document/8594660/

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