Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  introduce a general framework for string kernels. This framework can produce various types of kernels, including a number of existing kernels, to be used with support vector machines (SVMs). In this framework,  can select the informative subsequences to reduce the dimensionality of the feature space.  can model the mutations in biological sequences. Finally,  combine contributions of subsequences in a ighted fashion to get the target kernel. In practical computation,  develop a novel tree structure, coupled with a traversal algorithm to speed up the computation. The experimental results on a benchmark SCOP data set show that the kernels produced by our framework outperform the existing spectrum kernels, in both e‐ciency and ROC50 scores.
['Wen-Yun Yang', 'Bao-Liang Lu']
I am writing a research paper on a idea STRING KERNELS WITH FEATURE SELECTION FOR SVM PROTEIN CLASSIFICATION
[{"from": "human", "value": "I am writing a research paper on a idea STRING KERNELS WITH FEATURE SELECTION FOR SVM PROTEIN CLASSIFICATION"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  introduce a general framework for string kernels. This framework can produce various types of kernels, including a number of existing kernels, to be used with support vector machines (SVMs). In this framework,  can select the informative subsequences to reduce the dimensionality of the feature space.  can model the mutations in biological sequences. Finally,  combine contributions of subsequences in a ighted fashion to get the target kernel. In practical computation,  develop a novel tree structure, coupled with a traversal algorithm to speed up the computation. The experimental results on a benchmark SCOP data set show that the kernels produced by our framework outperform the existing spectrum kernels, in both e\u2010ciency and ROC50 scores."}]