The kernel method,especially the kernel-fusion method,is widely used in social networks,computer vision,bioinformatics,and other applications.It deals effectively with nonlinear classification problems,which can map linearly inseparable biological sequence data from low to high-dimen-sional space for more accurate differentiation,enabling the use of kernel methods to predict the structure and function of sequences.Therefore,the kernel method is significant in the solution of bioinformatics problems.Various kernels applied in bioinformatics are explained clearly,which can help readers to select proper kernels to distinguish tasks.Mass biological sequence data occur in practical applications.Research of the use of machine learning methods to obtain knowledge,and how to explore the structure and function of biological methods for theoretical prediction,have always been emphasized in bioinformatics.The kernel method has gradually become an important learning algorithm that is widely used in gene expression and biological sequence prediction.This review focuses on the requirements of classification tasks of biological sequence data.It studies kernel methods and optimization algorithms,including methods of constructing kernel matrices based on the characteristics of biological sequences and kernel fusion methods existing in a multiple kernel learning framework.

Ren QI;Fei GUO;Quan ZOU

College of Intelligence and Computing,Tianjin University,Tianjin 300350,China;Institute of Fundamental and Frontier Sciences,University of Electronic Science and Technology of China,Chengdu 610056,China;Hainan Key Laboratory for Computational Science and Application,Hainan Normal University,Haikou 571158,China

计算机科学前沿

[1]Ren QI;Fei GUO;Quan ZOU-.String kernels construction and fusion:a survey with bioinformatics application)[J].计算机科学前沿,2022(06):139-152

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