Li Tang

Research Associate

MS: Chongqing medical university endocrinology 2001

MD : Chongqong Medical University 1983

Yan, W., H. Lee, E. W. Deutsch, C. A. Lazaro, W. Tang, E. Chen, N. Fausto, M. G. Katze, and R. Aebersold. 2004. “A Dataset of Human Liver Proteins Identified by Protein Profiling via Isotope-Coded Affinity Tag (ICAT) and Tandem Mass Spectrometry.” Mol Cell Proteomics 3 (10): 1039–41. Cite
Wang, P., H. Tang, M. P. Fitzgibbon, M. McIntosh, M. Coram, H. Zhang, E. Yi, and R. Aebersold. 2007. “A Statistical Method for Chromatographic Alignment of LC-MS Data.” Biostatistics 8 (2): 357–67. Cite
Shi, Leming, Gregory Campbell, Wendell D. Jones, Fabien Campagne, Zhining Wen, Stephen J. Walker, Zhenqiang Su, et al. 2010. “The MicroArray Quality Control (MAQC)-II Study of Common Practices for the Development and Validation of Microarray-Based Predictive Models.” Nature Biotechnology 28 (8): 827–38. https://doi.org/10.1038/nbt.1665. Cite
Martens, L., M. Chambers, M. Sturm, D. Kessner, F. Levander, J. Shofstahl, W. H. Tang, et al. 2011. “MzML–a Community Standard for Mass Spectrometry Data.” Mol Cell Proteomics 10 (1): R110 000133. Cite
Chen, L. Y., K. C. Wei, A. C. Huang, K. Wang, C. Y. Huang, D. Yi, C. Y. Tang, D. J. Galas, and L. E. Hood. 2012. “RNASEQR–a Streamlined and Accurate RNA-Seq Sequence Analysis Program.” Nucleic Acids Research 40 (6): e42. Cite
Hu, Ting, Xiong Li, Qinghua Zhang, Kecheng Huang, Yao Jia, Ru Yang, Fangxu Tang, Qiang Tian, Ding Ma, and Shuang Li. 2015. “Could the Extent of Lymphadenectomy Be Modified by Neoadjuvant Chemotherapy in Cervical Cancer? A Large-Scale Retrospective Study.” PLoS One 10: e0123539. https://doi.org/10.1371/journal.pone.0123539. Cite
Zhang, Yu, Yin Tang, Shuai Sun, Zhihua Wang, Wenjun Wu, Xiaodong Zhao, Daniel M. Czajkowsky, et al. 2015. “Single-Cell Codetection of Metabolic Activity, Intracellular Functional Proteins, and Genetic Mutations from Rare Circulating Tumor Cells.” Analytical Chemistry 87 (19): 9761–68. https://doi.org/10.1021/acs.analchem.5b01901. Cite
Cancer Genome Atlas Research Network, Daniel J. Brat, Roel G. W. Verhaak, Kenneth D. Aldape, W. K. Alfred Yung, Sofie R. Salama, Lee A. D. Cooper, et al. 2015. “Comprehensive, Integrative Genomic Analysis of Diffuse Lower-Grade Gliomas.” The New England Journal of Medicine 372 (26): 2481–98. https://doi.org/10.1056/NEJMoa1402121. Cite
Dinov, Ivo D., Ben Heavner, Ming Tang, Gustavo Glusman, Kyle Chard, Mike Darcy, Ravi Madduri, et al. 2016. “Predictive Big Data Analytics: A Study of Parkinson’s Disease Using Large, Complex, Heterogeneous, Incongruent, Multi-Source and Incomplete Observations.” PloS One 11 (8): e0157077. https://doi.org/10.1371/journal.pone.0157077. Cite
Robertson, A. Gordon, Juliann Shih, Christina Yau, Ewan A. Gibb, Junna Oba, Karen L. Mungall, Julian M. Hess, et al. 2017. “Integrative Analysis Identifies Four Molecular and Clinical Subsets in Uveal Melanoma.” Cancer Cell 32 (2): 204-220.e15. https://doi.org/10.1016/j.ccell.2017.07.003. Cite
Tang, Yin, Zhuo Wang, Ziming Li, Jungwoo Kim, Yuliang Deng, Yan Li, James R. Heath, Wei Wei, Shun Lu, and Qihui Shi. 2017. “High-Throughput Screening of Rare Metabolically Active Tumor Cells in Pleural Effusion and Peripheral Blood of Lung Cancer Patients.” Proceedings of the National Academy of Sciences of the United States of America 114 (10): 2544–49. https://doi.org/10.1073/pnas.1612229114. Cite
Saltz, Joel, Rajarsi Gupta, Le Hou, Tahsin Kurc, Pankaj Singh, Vu Nguyen, Dimitris Samaras, et al. 2018. “Spatial Organization and Molecular Correlation of Tumor-Infiltrating Lymphocytes Using Deep Learning on Pathology Images.” Cell Reports 23 (1): 181-193.e7. https://doi.org/10.1016/j.celrep.2018.03.086. Cite Download
Juarez, Eleonora, Nyasha Chambwe, Weiliang Tang, Asia D. Mitchell, Nichole Owen, Anuradha Kumari, Raymond J. Monnat, and Amanda K. McCullough. 2018. “An RNAi Screen in Human Cell Lines Reveals Conserved DNA Damage Repair Pathways That Mitigate Formaldehyde Sensitivity.” DNA Repair. https://doi.org/10.1016/j.dnarep.2018.10.002. Cite
Li, Ziming, Zhuo Wang, Yin Tang, Xiang Lu, Jie Chen, Yu Dong, Baojun Wu, et al. 2019. “Liquid Biopsy-Based Single-Cell Metabolic Phenotyping of Lung Cancer Patients for Informative Diagnostics.” Nature Communications 10 (1): 3856. https://doi.org/10.1038/s41467-019-11808-3. Cite Download