RVMAB: Using the Relevance Vector Machine Model Combined with Average Blocks to Predict the Interactions of Proteins from Protein Sequences

By An Ji-Yong   You Zhu-Hong   Meng Fan-Rong   Xu Shu-Juan   Wang Yin  

International Journal of Molecular Sciences, Vol. 17, Iss. 5, 2016-05 ,pp. : 757-757

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PCVMZM: Using the Probabilistic Classification Vector Machines Model Combined with a Zernike Moments Descriptor to Predict Protein–Protein Interactions from Protein Sequences

By Wang Yanbin   You Zhuhong   Li Xiao   Chen Xing   Jiang Tonghai   Zhang Jingting  

International Journal of Molecular Sciences, Vol. 18, Iss. 5, 2017-05 ,pp. : 1029-1029

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Prediction of Protein–Protein Interaction with Pairwise Kernel Support Vector Machine

By Zhang Shao-Wu   Hao Li-Yang   Zhang Ting-He  

International Journal of Molecular Sciences, Vol. 15, Iss. 2, 2014-02 ,pp. : 3220-3233

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Detection of Glutamic Acid in Oilseed Rape Leaves Using Near Infrared Spectroscopy and the Least Squares-Support Vector Machine

By Bao Yidan   Kong Wenwen   Liu Fei   Qiu Zhengjun   He Yong  

International Journal of Molecular Sciences, Vol. 13, Iss. 11, 2012-10 ,pp. : 14106-14114

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Classification of HCV NS5B Polymerase Inhibitors Using Support Vector Machine

By Wang Maolin   Wang Kai   Yan Aixia   Yu Changyuan  

International Journal of Molecular Sciences, Vol. 13, Iss. 4, 2012-03 ,pp. : 4033-4047

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