师资队伍

邹欣

 

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邮箱: x.zou@sjtu.edu.cn
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学习经历
 2003年9月-2007年12月 英国伯明翰大学电子电机工程系博士学位。论文题目是高阶统计量独立元分析方法为基础的特征提取,模式识别和信号增强。
 2002年9月-2003年6月 山东大学电子工程系硕士。
 1998年9月-2002年6月 山东大学电子工程系学士学位。

 

工作经历
 2015年5月- 今 上海交通大学 副研究员。从事单细胞肿瘤基因组学的生物信息学研究,主要从事开发基于统计建模的数据挖掘算法。
 2013年1月-2015年5月 英国肯特大学博士后,作为组中唯一的生物信息学家从事代谢物组学的核磁共振谱和质谱数据的数据挖掘,模式识别和统计分析。在成功研发新的生物信息学统计算法的同时帮助肯特大学代谢物研究组建立自己的in-house软件库,同时指导博士生理解生物数据处理算法和使用各种in-house软件。
 2011年10月-2012年12月 英国谢菲尔德大学博士后,从事嗜热古菌种Sulfolobus的蛋白质组,转录组学数据的信息挖掘和统计分析。
 2010年6月-2011年9月 英国奥斯特大学博士后(永久职位),从事有关奥兹海默病的计算神经科学研究。
 2008年5月-2010年5月 英国伯明翰大学博士后,从事统计学,儿童脑瘤的核磁共振谱分析,模式识别,信号增强。

 

人才奖项
 2016年入选上海市浦江人才计划。

 

致力于应用统计学方法,包括模式识别算法,聚类算法和回归算法等对各类高通量组学数据的分析研究以及数据挖掘。目前主要从事单细胞数据分析新算法研究。

1. Jie Hao, Wei Cao, Jian Huang, Xin Zou*, Ze-Guang Han*,Optimal Gene Filtering for Single-Cell data (OGFSC) – a gene filtering algorithm for single-cell RNA-seq data, Bioinformatics, in press. (SCI IF = 5.5)
2. Yuchen Yuan, Yi Shi, Xianbin Su, Xin Zou, et al., Cancer type prediction based on copy number aberration and chromatin 3D structure with convolutional neural networks, BMC Genomics 2018 19:4919.
3. R. Loo, Xin Zou, et al., Characterization of metabolic responses to healthy diets and association with blood pressure: application to the Optimal Macronutrient Intake Trial for Heart Health (OmniHeart), a randomized controlled study, American journal of clinical nutrition, 2018, (SCI IF = 6.9)
4. X. Su#, Y. Shi#, X. Zou#, Z. Lu#, Gangcai Xie, Jean Y.H. Yang, Chong-Chao Wu, Xiao-Fang Cui, Kun-Yan He, Qing Luo, Yu-lan Qu, Na Wang, Lan Wang, Ze-Guang Han*. Single-cell RNA-Seq analysis reveals dynamic trajectories during mouse liver development, BMC Genomics, 18:946, 2017
5. W. Qiu, T. K. Pham, X. Zou, S. Y. Ow, and P. C. Wright, “Natural Mutagenesis-Enabled Global Proteomic Study of Metabolic and Carbon Source Implications in Mutant Thermoacidophillic Archaeon Sulfolobus solfataricus PBL2025,” Journal of Proteome Research, vol. 16, no. 7, pp. 2370-2383, Jul, 2017.
6. Wei Cao,Jian-nan Liu,Zeqi Liu,Xu Wang,Ze-Guang Han,Tong Ji,Wan-tao Chen,Xin Zou*,A three-lncRNA signature derived from the Atlas of ncRNA in cancer (TANRIC) database predicts the survival of patients with head and neck squamous cell carcinoma,Oral Oncology, 2017, 65 (2017) 94–101. (SCI IF = 4.8)
7. X. Zou, E. Holmes, J. Nicolson, R. Loo, Automatic Spectroscopic data Categorization by cLustering ANalysis (ASCLAN): A data-driven approach for distinguishing discriminatory metabolites for phenotypic subclasses. Analytical Chemistry, 2016, 88(11):5670-5679. (SCI IF = 6.3)
8. X. Zou, E. Holmes, J. Nicolson, R. Loo, Statistical HOmogeneous Cluster SpectroscopY (SHOCSY): an optimized statistical approach for clustering of 1H NMR spectral data to improve classification and robust biomarkers selection. Analytical Chemistry, 2014, 86 (11), 5308-5315. (SCI IF = 6.3)
9. X. Zou, D. Coyle, K. Wong-Lin, L. Maguire, Computational Study of Hippocampal-septal Theta Rhythm Changes due to Beta-Amyloid-Altered Ionic Channels, Plos One, doi:10.1371/journal.pone.0021579, 2011. (SCI IF = 3.5)
10. X. Zou, P. Jancovic, J. Liu, M. Köküer, Speech signal enhancement based on MAP algorithm in the ICA space. IEEE Transactions on Signal Processing, volume 56, number 5, page 1812-1820, May 2008. (SCI IF = 3.2)
11. X. Zou, T. K. Pham, P. C. Wright and J. Noirel, Bioinformatic study of the relationship between protein regulation and sequence properties. Gemonics, 2012,100(4):240-4. (SCI IF = 3.0)
12. X. Zou, D. Coyle, K. Wong-Lin, L. Maguire, Beta-amyloid induced changes in A-type K+ current can alter hippocampo-septal network dynamics. Journal of Computational Neuroscience, Volume 32, Issue 3, Page 465-477, 2012. (SCI IF = 2.1)
13. R. Joyce, V. Kuziene, X. Zou, X. Wang, F. Pullen, RL. Loo, Development and validation of an ultra-performance liquid chromatography quadrupole time of flight mass spectrometry method for rapid quantification of free amino acids in human urine. Amino Acids. 2016 Jan;48(1):219-34 (SCI IF = 3.3)
14. J. Hao, X. Zou, et al., A Comparative Study of Feature Extraction and Blind Source Separation of Independent Component Analysis (ICA) on Children Brain Tumour 1H Magnetic Resource Spectra. NMR in Biomedicine, 2009, 22(8):809-818. (SCI IF = 3.6)
15. J. Hao, X. Zou et al, A Hybrid Method of Applying Independent Component Analysis to in vivo 1H Magnetic Resonance Spectra of Childhood Brain Tumours. NMR in Biomedicine, 2012, 25: 594–606. (SCI IF = 3.6)
16. C. Evans, J. Noirel, S. Ow, M. Salim, A. G. Pereira-Medrano,T. K. Pham, N. Couto, J. Pandhal, X. Zou, E. Karunakaran, C. A. Biggs, P. C. Wright, “An insight into iTRAQ: where do we stand now?”, Analytical and Bioanalytical Chemistry, 2012, 404(4):1011-27. (SCI IF=3.6)
17. P. C. Wright, S. Jaffe, J. Noirel, X. Zou, Opportunities for protein interaction network guided cellular engineering. IUBMB life, 2013, 65(1):17-27. (SCI IF= 2.8)
18. P. Jancovic, X. Zou, M. Köküer, Speech enhancement based on Sparse Code Shrinkage employing multiple speech models. Speech Communication 54, 108–118, 2012. (SCI IF = 1.8)
19. J. Du, X. Zou, J. Hao, J. Liu, The Efficiency of ICA-based Representation Analysis: Application to Speech Feature Extraction,CHINESE JOURNAL OF ELECTRONICS,Volume: 20,Issue: 2,Pages: 287-292,2011. (SCI)
20. P. Jancovic, X. Zou, M. Köküer, Underdetermined DOA estimation via Independent Component Analysis and and time-frequency masking. Journal of Electrical and Computer Engineering, vol. 2010, 2010.

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