Professor | Zhu Liucun | Asia Growth Partners

Name	Zhu Liucun
Contact Information	zhuliucun@shu.edu.cn
Language ability	Chinese, English
Province	Shanghai

Name

Zhu Liucun

Contact Information

zhuliucun@shu.edu.cn

Language ability

Chinese, English

Province

Shanghai

University/Lab Affiliation and Title	Shanghai University
Faculty	Life Sciences
Academic Background & Achievements	2005/9 - 2010/6 PhD in Botany: Nanjing University, Supervisor: Tian Dacheng 2008/9 - 2009/9 Joint PhD Program: Purdue University, Supervisor: Jianxin Ma 2001/9 - 2005/6 Bachelor in Biophysics: Nanjing University
Work Experience	2015/7 - Present, Shanghai University, School of Life Sciences, Associate Professor 2010/7 - 2015/7, Shanghai University, Institute of Systems Biotechnology, Lecturer

University/Lab Affiliation and Title

Shanghai University

Faculty

Life Sciences

Academic Background & Achievements

2005/9 - 2010/6 PhD in Botany: Nanjing University, Supervisor: Tian Dacheng
2008/9 - 2009/9 Joint PhD Program: Purdue University, Supervisor: Jianxin Ma
2001/9 - 2005/6 Bachelor in Biophysics: Nanjing University

Work Experience

2015/7 - Present, Shanghai University, School of Life Sciences, Associate Professor
2010/7 - 2015/7, Shanghai University, Institute of Systems Biotechnology, Lecturer

Areas of Focus	Genomics and Bioinformatics Biomedical Big Data Analysis Machine Learning in Genomics
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

Areas of Focus

Genomics and Bioinformatics
Biomedical Big Data Analysis
Machine Learning in Genomics

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

Genomics Bioinformatics High-Throughput Sequencing Network Analysis Functional Genes Biomedical Big Data Machine Learning Disease Genes Molecular Markers

Xiao-Lei Wang - Shanghai Jiao Tong University

Chao Chen - Central South University

Dehua Hu - Central South University

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