Protein Subcellular Localization with Gaussian Kernel Discriminant Analysis and Its Kernel Parameter Selection

Kernel discriminant analysis (KDA) is a dimension reduction and classification algorithm based on nonlinear kernel trick, which can be novelly used to treat high-dimensional and complex biological data before undergoing classification processes such as protein subcellular localization. Kernel parame...

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Detalles Bibliográficos
Autores principales: Wang, Shunfang, Nie, Bing, Yue, Kun, Fei, Yu, Li, Wenjia, Xu, Dongshu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2017
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5751319/
https://www.ncbi.nlm.nih.gov/pubmed/29244758
http://dx.doi.org/10.3390/ijms18122718

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5751319/
https://www.ncbi.nlm.nih.gov/pubmed/29244758
http://dx.doi.org/10.3390/ijms18122718

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