王明辉
Paper Publications
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SGL-SVM: A novel method for tumor classification via support vector machine with sparse group Lasso.486( ):
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Iterative Methods for Least Squares Problem in Split Quaternionic Mechanics.3(2):
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The Real Representation of Canonical Hyperbolic Quaternion Matrices and Its Applications.5(6):
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Predicting Golgi-resident Protein Types Using Conditional Covariance Minimization with XGBoost Based on Multiple Features Fusion. (7):
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UbiSitePred: a novel method for improving the accuracy of ubiquitination sites prediction by using LASSO to select the optimal Chou's pseudo components.184(无):
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一个约束最小二乘问题(英文).v.9(22):
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F-2D-QPCA: A Quaternion Principal Component Analysis Method for Color Face Recognition.8(-):
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DeepMal: Accurate prediction of protein malonylation sites by deep neural networks.(207):
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SulSite-GTB: identification of protein S-sulfenylation sites by fusing multiple feature information and gradient tree boosting.32(17):
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Prediction of Extracellular Matrix Proteins by Fusing Multiple Feature Information, Elastic Net, and Random Forest Algorithm.8(2):