Selected Publications (First and Corresponding Author)
Yang Yang and Sihui Qi, “A new feature selection method for computational prediction of type III secreted effectors”, Vol. 10, No. 4, International Journal of Data Mining and Bioinformatics, 2014 (SCI)
Tingting Sui, Yang Yang, and Xiaofeng Wang, "Sequence-based feature extraction for type III effector prediction", International Journal of Bioscience, Biochemistry and Bioinformatics, vol.3(3), 2013 (EI)
Yang Yang, "Identification of novel type III effectors using latent Dirichlet allocation," Computational and Mathematical Methods in Medicine, vol. 2012, Article ID 696190 (SCI)
Yang Yang, Jiayuan Zhao, Robyn L. Morgan, Wenbo Ma, Tao Jiang, “Computational prediction of type III secreted proteins from gram-negative bacteria,” BMC Bioinformatics, 2010, 11(S1):S47 (SCI)
Yang Yang and Bao-Liang Lu, “Protein subcellular multi-localization prediction using a min-max modular support vector machine,” International Journal of Neural Systems, vol. 20, No. 1, pp. 13-28, 2010. (SCI)
Yang Yang, “Computational prediction of type III secreted proteins using labeled and unlabeled data,” International Journal of Infectious Diseases, vol. 14, suppl.2, pp. 37, 2010. (SCI)
Dandan Song*, Yang Yang*, Bin Yu, Binglian Zheng, Zhidong Deng, Bao-Liang Lu, Xuemei Chen and Tao Jiang, “Computational prediction of novel non-coding RNAs in Arabidopsis thaliana”, BMC Bioinformatics 2009, 10(S1):S36 (*equal contribution) (SCI)
Sihui Qi, Yang Yang and Anjun Song, “Feature reduction using a topic model for the prediction of type III secreted effectors,” Neural Information Processing, Lecture Notes in Computer Science vol.7062, pp. 155-163 (ICONIP 2011) (EI)
Yuelan Zhang, Yang Yang and Xiaofeng Wang, “Extracting features from protein sequences for the prediction of type III secreted effector,” Proc. of the 6th International Conference on Bioinformatics and Biomedical Engineering , pp. 23 – 26 (iCBBE 2011) (EI)
Yang Yang, “A comparative study on sequence feature extraction for type III secreted effector prediction,” Proc. of the 2011 Eighth International Conference on Fuzzy Systems and Knowledge Discovery, pp. 1560 - 1564 (FSKD 2011) (EI)
Yang Yang, “A new similarity measure over Gene Ontology with application to protein subcellular localization,” Proc. of the 3rd International Conference on Biomedical Engineering and Informatics, vol. 6, pp.2452-2456. (BMEI 2010) (EI)
Yang Yang, Bao-liang Lu and Wen-Yun Yang, ``Classification of protein sequences based on word segmentation methods,’’ Proc. of the 6th Asia Pacific Bioinformatics Conference (APBC 2008), Kyoto, Japan, pp. 177-186.
Yang Yang and Bao-Liang Lu, ``Incorporating domain knowledge into a min-max modular support vector machine for protein subcellular localization,’’ Neural Information Processing, LNCS, vol. 4985, pp. 827-836, 2008（EI）
Yang Yang and Bao-Liang Lu, “Prediction of protein subcellular multi-locations with a min-max modular support vector machine,” Advances in neural networks, LNCS, vol.3973, pp.667-673, 2006. (SCI)
Yang Yang and Bao-Liang Lu, “Extracting features from protein sequences using Chinese segmentation techniques for subcellular localization,” Proc. of 2005 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB 2005), San Diego, California, USA, pp 288-295. （EI）
Yang Yang and Bao-Liang Lu, “Structure pruning strategies for min-max modular network”, Advances in neural networks, LNCS, vol. 3496, pp. 646-651, 2005 (SCI)