1.H. Zha, Y. Cai, Y. Yin, Z. Wang, K. Li, and Z.-J. Zhu*, SWATHtoMRM: Development of High-Coverage Targeted Metabolomics Method Using SWATH Technology for Biomarker Discovery, Analytical Chemistry, 2018, In Press.
2.J. Tu, Y. Yin, M. Xu, R. Wang, and Z.-J. Zhu*, Absolute Quantitative Lipidomics Reveals Lipidome-Wide Alterations in Aging Brain, Metabolomics, 2018, 14: 5.
3.Z. Zhou, J. Tu, and Z.-J. Zhu*, Advancing the Large-Scale CCS Database for Metabolomics and Lipidomics at the Machine-Learning Era, Current Opinion in Chemical Biology, 2018, 42, 34-41.
4.Z. Zhou, J. Tu, X. Xiong, X. Shen, and Z.-J. Zhu*, LipidCCS: Prediction of Collision Cross-Section Values for Lipids with High Precision to Support Ion Mobility-Mass Spectrometry based Lipidomics, Analytical Chemistry, 2017, 89, 9559–9566.
5.Z. Zhou, X. Xiong, and Z.-J. Zhu*, MetCCS Predictor: A Web Server for Predicting Collision Cross-Section Values of Metabolites in Metabolomics, Bioinformatics, 2017, 33, 2235-2237.
6.Z. Zhou, X. Shen, J. Tu, and Z.-J. Zhu*, Large-Scale Prediction of Collision Cross-Section Values for Metabolites in Ion Mobility - Mass Spectrometry, Analytical Chemistry, 2016, 88, 11084-11091.
7.H. Li, Y. Cai, Y. Guo, F. Chen, and Z.-J. Zhu*, MetDIA: Targeted Metabolite Extraction of Multiplexed MS/MS Spectra Generated by Data-Independent Acquisition, Analytical Chemistry, 2016, 88, 8757-8764.
8.J. Wang*, T. Zhang, X. Shen, J. Liu, D. Zhao, Y. Sun, L. Wang, Y. Liu, X. Gong, Y. Liu, Z.-J. Zhu*, and F. Xue*, Serum Metabolomics for Early Diagnosis of Esophageal Squamous Cell Carcinoma by UHPLC-QTOF/MS, Metabolomics, 2016, 12: 116.
9.X. Shen, X. Gong, Y. Cai, Y. Guo, J. Tu, H. Li, T. Zhang, J. Wang, F. Xue, and Z.-J. Zhu*, Normalization and Integration of Large-Scale Metabolomics Data Using Support Vector Regression, Metabolomics, 2016, 12: 89.
10.Y. Cai, K. Weng, Y. Guo, J. Peng, and Z.-J. Zhu*, An Integrated Targeted Metabolomic Platform for High-Throughput Metabolite Profiling and Automated Data Processing, Metabolomics, 2015, 11, 1575-1586.