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A Semi-supervised Learning Based Method: Laplacian Support VectorMachine Used in Diabetes Disease Di
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G蛋白偶联受体的结构与功能研究
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Two Multi-classification Strategies Used on SVM to Predict Protein Structural Classes by Using Auto
PRED_PPI: a server for predicting protein- protein interactions based on sequence data with probabil
Solvent effects on isolated formamide and its monohydrated complex: observations from PCM study.
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SVM Based Ensemble Classifier Used to Predict Protein Structural Classes by Fusing Auto Covariance
Using auto covariance method for functional discrimination of membrane proteins based on evolution i
In silico method for systematic analysis of feature importance in microRNA -mRNA interaction
SecretP: a new method for predicting mammalian secreted proteins
Using the augmented Chou's pseudo amino acid composition for predicting protein submitochondria loca
Prediction of Beta-Turn in Protein Using E-SSpred and Support Vector Machine
Complex tree: the basic framework of Protein-Protein Interaction Networks
Substituent effects on the hydrogen-bonded complex of aniline–H2O: a computational study.
Identification RNA-binding sites in proteins by integrating various sequence information
Investigation of the proteins folding rates and their properties of amino acid network
Using position specific scoring matrix and auto covariance to predict protein subnuclear localizatio
Effect of neighboring sequence environment in predicting cleavage sites of signal peptides.
基于HMLP参数的二肽logP值支持向量机预测模型