Areas of Focus
- Genomics and Bioinformatics
- Biomedical Big Data Analysis
- Machine Learning in Genomics
Work Experience
- 2015/7 - Present, Shanghai University, School of Life Sciences, Associate Professor
- 2010/7 - 2015/7, Shanghai University, Institute of Systems Biotechnology, Lecturer
- 2008/9 - 2009/9, Purdue University, Agronomy, Jointly trained PhD student
Academic Background & Achievements
- 2005/9 - 2010/6 PhD in Botany: Nanjing University
- 2001/9 - 2005/6 Bachelor in Biophysics: Nanjing University
Publications
- Network-based method for mining novel HPV infection related genes using random walk with restart algorithm., Zhu Liucun, Su Fangchu, Xu YaoChen, Zou Quan, 2018
- Melanoma long non-coding RNA signature predicts prognostic survival and directs clinical risk-specific treatments., Chen Xijia, Guo Wenna, Xu Xin-Jian, Su Fangchu, Wang Yi, Zhang Yingzheng, Wang Qiang, Zhu Liucun, 2017
- Transcriptome sequencing uncovers a three–long noncoding RNA signature in predicting breast cancer survival., Guo, W., Wang, Q., Zhan, Y., Chen, X., Yu, Q., Zhang, J., ... & Zhu, L., 2016
