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Le-Le Hu

Showing results (1-10 of 20) with videos related to

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Protein and Peptide Letters|September 17, 2011
Prediction of protein quaternary structure with feature selection and analysis based on protein biological featuresLe-Le Hu, Kai-Yan Feng, Lei Gu, et al.
Plos One|August 11, 2011
Prediction of body fluids where proteins are secreted into based on protein interaction networkLe-Le Hu, Tao Huang, Yu-Dong Cai, et al.
Protein and Peptide Letters|April 24, 2012
Using protein-protein interaction network information to predict the subcellular locations of proteins in budding yeastLe-Le Hu, Kai-Yan Feng, Yu-Dong Cai, et al.
Plos One|January 6, 2012
Predicting biological functions of compounds based on chemical-chemical interactionsLe-Le Hu, Chen Chen, Tao Huang, et al.
Journal of Proteomics|December 20, 2011
Predict and analyze S-nitrosylation modification sites with the mRMR and IFS approachesBi-Qing Li, Le-Le Hu, Shen Niu, et al.
Protein and Peptide Letters|September 17, 2011
Prediction of the functional roles of small molecules in lipid metabolism based on ensemble learningChun-Rong Peng, Wen-Cong Lu, Bing Niu, et al.
Plos One|January 7, 2011
Prediction and analysis of protein hydroxyproline and hydroxylysineLe-Le Hu, Shen Niu, Tao Huang, et al.
Protein and Peptide Letters|September 17, 2011
PSCL: predicting protein subcellular localization based on optimal functional domainsKai Wang, Le-Le Hu, Xiao-He Shi, et al.
Plos One|June 22, 2012
Prediction of protein domain with mRMR feature selection and analysisBi-Qing Li, Le-Le Hu, Lei Chen, et al.
Biopolymers|May 6, 2011
Prediction and analysis of protein methylarginine and methyllysine based on Multisequence featuresLe-Le Hu, Zhen Li, Kai Wang, et al.
Pageof 2

Showing results (1-10 of 20) with videos related to

Sort By:
Pageof 2
Protein and Peptide Letters|September 17, 2011
Prediction of protein quaternary structure with feature selection and analysis based on protein biological featuresLe-Le Hu, Kai-Yan Feng, Lei Gu, et al.
Plos One|August 11, 2011
Prediction of body fluids where proteins are secreted into based on protein interaction networkLe-Le Hu, Tao Huang, Yu-Dong Cai, et al.
Protein and Peptide Letters|April 24, 2012
Using protein-protein interaction network information to predict the subcellular locations of proteins in budding yeastLe-Le Hu, Kai-Yan Feng, Yu-Dong Cai, et al.
Plos One|January 6, 2012
Predicting biological functions of compounds based on chemical-chemical interactionsLe-Le Hu, Chen Chen, Tao Huang, et al.
Journal of Proteomics|December 20, 2011
Predict and analyze S-nitrosylation modification sites with the mRMR and IFS approachesBi-Qing Li, Le-Le Hu, Shen Niu, et al.
Protein and Peptide Letters|September 17, 2011
Prediction of the functional roles of small molecules in lipid metabolism based on ensemble learningChun-Rong Peng, Wen-Cong Lu, Bing Niu, et al.
Plos One|January 7, 2011
Prediction and analysis of protein hydroxyproline and hydroxylysineLe-Le Hu, Shen Niu, Tao Huang, et al.
Protein and Peptide Letters|September 17, 2011
PSCL: predicting protein subcellular localization based on optimal functional domainsKai Wang, Le-Le Hu, Xiao-He Shi, et al.
Plos One|June 22, 2012
Prediction of protein domain with mRMR feature selection and analysisBi-Qing Li, Le-Le Hu, Lei Chen, et al.
Biopolymers|May 6, 2011
Prediction and analysis of protein methylarginine and methyllysine based on Multisequence featuresLe-Le Hu, Zhen Li, Kai Wang, et al.
Pageof 2