Liyaning Tang, Ph.D.
Affiliations: | 2011 | Hong Kong Polytechnic University (Hong Kong) |
Area:
Urban and Regional PlanningGoogle:
"Liyaning Tang"Parents
Sign in to add mentor| Geoffrey Shen | grad student | 2011 | Hong Kong Polytechnic University (Hong Kong) | |
| (Effective and efficient briefing in public private partnership projects in the construction industry.) | ||||
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Publications
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| Hu Y, Wang Z, Huang X, et al. (2016) Oxidative metabolism of koumine is mainly catalyzed by microsomal CYP3A4/3A5. Xenobiotica; the Fate of Foreign Compounds in Biological Systems. 1-8 |
| Yang Q, Zou HY, Zhang Y, et al. (2016) Multiplex protein pattern unmixing using a non-linear variable-weighted support vector machine as optimized by a particle swarm optimization algorithm. Talanta. 147: 609-14 |
| He YQ, Xue WQ, Shen GP, et al. (2015) Household inhalants exposure and nasopharyngeal carcinoma risk: a large-scale case-control study in Guangdong, China. Bmc Cancer. 15: 1022 |
| You R, Zou X, Wang SL, et al. (2015) New surgical staging system for patients with recurrent nasopharyngeal carcinoma based on the AJCC/UICC rTNM classification system. European Journal of Cancer (Oxford, England : 1990) |
| Tang L, Lei X, Zeng G, et al. (2012) Optical detection of NADH based on biocatalytic growth of Au-Ag core-shell nanoparticles. Spectrochimica Acta. Part a, Molecular and Biomolecular Spectroscopy. 99: 390-3 |
| Du W, Gu T, Tang LJ, et al. (2011) Unimodal transform of variables selected by interval segmentation purity for classification tree modeling of high-dimensional microarray data. Talanta. 85: 1689-94 |
| Wen JH, Zhong KJ, Tang LJ, et al. (2011) Adaptive variable-weighted support vector machine as optimized by particle swarm optimization algorithm with application of QSAR studies. Talanta. 84: 13-8 |
| Chen G, Zeng G, Du C, et al. (2010) Transfer of heavy metals from compost to red soil and groundwater under simulated rainfall conditions Journal of Hazardous Materials. 181: 211-216 |
| Tang LJ, Du W, Fu HY, et al. (2009) New variable selection method using interval segmentation purity with application to blockwise kernel transform support vector machine classification of high-dimensional microarray data. Journal of Chemical Information and Modeling. 49: 2002-9 |
| Tang LJ, Jiang JH, Wu HL, et al. (2009) Variable selection using probability density function similarity for support vector machine classification of high-dimensional microarray data. Talanta. 79: 260-7 |