Prediction for Membrane Protein Types Based on Effective Fusion Representation and MIC-GA Feature Selection

Prediction for Membrane Protein Types Based on Effective Fusion Representation and MIC-GA Feature Selection

Membrane proteins occupy an important position in the life activities of humans and other species. The elucidation of membrane protein types provides clues for understanding the structure and function of proteins. With the fusion of various protein information including amino acid classification, ph...

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Bibliographic Details
Main Authors: Lei Guo, Shunfang Wang, Zhenfeng Lei, Xueren Wang
Format: Article
Language:English
Published: IEEE 2018-01-01
Series:IEEE Access
Subjects:
Prediction for membrane protein types
fusion representation
MIC-GA feature selection
ensemble method
stacked generalization
Online Access:https://ieeexplore.ieee.org/document/8539982/

Internet

https://ieeexplore.ieee.org/document/8539982/

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