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Naiyang Deng

Showing results (1-10 of 7) with videos related to

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Plos One|November 19, 2013
Drug repositioning by kernel-based integration of molecular structure, molecular activity, and phenotype dataYongcui Wang, Shilong Chen, Naiyang Deng, et al.
Nucleic Acids Research|September 24, 2010
Gene expression variations are predictive for stochastic noiseDong Dong, Xiaojian Shao, Naiyang Deng, et al.
Molecular Informatics|August 3, 2016
Computational Study of Drugs by Integrating Omics Data with Kernel MethodsYongcui C Wang, Naiyang Deng, Shilong Chen, et al.
Journal of Theoretical Biology|September 25, 2012
Interrogating noise in protein sequences from the perspective of protein-protein interactions predictionYongcui Wang, Xianwen Ren, Chunhua Zhang, et al.
Journal of Theoretical Biology|June 4, 2009
Predicting DNA- and RNA-binding proteins from sequences with kernel methodsXiaojian Shao, Yingjie Tian, Lingyun Wu, et al.
Journal of Theoretical Biology|December 3, 2013
Prediction of posttranslational modification sites from amino acid sequences with kernel methodsYan Xu, Xiaobo Wang, Yongcui Wang, et al.
Bioinformatics (Oxford, England)|December 4, 2010
A regression framework incorporating quantitative and negative interaction data improves quantitative prediction of PDZ domain-peptide interaction from primary sequenceXiaojian Shao, Chris S H Tan, Courtney Voss, et al.
Pageof 1

Showing results (1-10 of 7) with videos related to

Sort By:
Pageof 1
Plos One|November 19, 2013
Drug repositioning by kernel-based integration of molecular structure, molecular activity, and phenotype dataYongcui Wang, Shilong Chen, Naiyang Deng, et al.
Nucleic Acids Research|September 24, 2010
Gene expression variations are predictive for stochastic noiseDong Dong, Xiaojian Shao, Naiyang Deng, et al.
Molecular Informatics|August 3, 2016
Computational Study of Drugs by Integrating Omics Data with Kernel MethodsYongcui C Wang, Naiyang Deng, Shilong Chen, et al.
Journal of Theoretical Biology|September 25, 2012
Interrogating noise in protein sequences from the perspective of protein-protein interactions predictionYongcui Wang, Xianwen Ren, Chunhua Zhang, et al.
Journal of Theoretical Biology|June 4, 2009
Predicting DNA- and RNA-binding proteins from sequences with kernel methodsXiaojian Shao, Yingjie Tian, Lingyun Wu, et al.
Journal of Theoretical Biology|December 3, 2013
Prediction of posttranslational modification sites from amino acid sequences with kernel methodsYan Xu, Xiaobo Wang, Yongcui Wang, et al.
Bioinformatics (Oxford, England)|December 4, 2010
A regression framework incorporating quantitative and negative interaction data improves quantitative prediction of PDZ domain-peptide interaction from primary sequenceXiaojian Shao, Chris S H Tan, Courtney Voss, et al.
Pageof 1