Do your best, and let the God do the rest.
I am a phD student in Interdisciplinary Research Center on Biology and Chemistry (IRCBC), Shanghai Institute of Organic Chemistry (SIOC), Chinese Academy of Sciences (CAS). I am broadly interested in Metabolomics, Analytical chemistry, Biostatictics, Systems biology and Bioinformatics.
My research focuses on the development of bioinformatic algorithms and tools for large-scale metabolomics as well as its application in discovering new biomarkers related to human diseases. I have developed several algorithms and tools in the past five years. The first algorithm was MetNormalizer, which is a machine learning-based algorithm for data normalization and integration of large-scale metabolomics. Then I developed a web-based tool, MetFlow , aiming to provide a comprehensive pipeline for data cleaning and statistical analysis of large-scale metabolomics. The most important algorithm I have developed is called MetDNA, which is a novel algorithm for metabolite identification and dysregulated pathway analysis in untargeted metabolomics.
I am made up of choices.
I like science, but science doesn't like me.
Large-scale metabolomics data processing and analysis.
For data and science.
Algorithm and software development.
Precision medicine for the better life.
HONORS AND AWARDS
Student Travel Award
The International Metabolomics Society (2018)
Journal Metabolites (2018)
China National Scholarship
Ministry of Education of the People’s Republic of China (2017)
Award for Outstanding Report
The 3th China Mass Spectrometry Analysis Conference (2017).
University of Chinese Academy of Sciences (2016)
Award for Outstanding Report
The 34th China Mass Spectrometry Society Conference (2016)
Inner Mongolia Outstanding Graduate
Inner Mongolia Autonomous Region (2013)
National Encouragement Scholarship
Ministry of Education of the People’s Republic of China (2011)
Large-scale Metabolite Identification for Untargeted Metabolomics Using Metabolic Reaction Network.
X. Shen, R. Wang, X. Xiong, Y. Yin, Y. Cai, J. Ma, N. Liu and Z.-J. Zhu, Nature Communications, 2018, in revision.
MetFlow: An Interactive and Integrated Workflow for Metabolomics Data Cleaning and Differential Metabolite Discovery.
X. Shen and Z.-J. Zhu, Bioinformatics, 2018, under review.
LipidIMMS Analyzer: Integrating Multi-dimensional Information to Support Lipid Identification in Ion Mobility–Mass Spectrometry based Lipidomics.
Assessment of The Response to Neoadjuvant Chemo-Radiation in Rectal Cancer Patients based on a Metabolomics Approach.
LipidCCS: Prediction of Collision Cross-Section Values for Lipids with High Precision to Support Ion Mobility-Mass Spectrometry based Lipidomics.
Large-Scale Prediction of Collision Cross-Section Values for Metabolites in Ion Mobility - Mass Spectrometry.
Serum Metabolomics for Early Diagnosis of Esophageal Squamous Cell Carcinoma by UHPLC-QTOF/MS.
Normalization and Integration of Large-Scale Metabolomics Data Using Support Vector Regression.
My life with my family and friends.
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