Professor | Jing Tang | Asia Growth Partners

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Name	Jing Tang
Language ability	Chinese, English
Province	Chongqing

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Name

Jing Tang

Language ability

Chinese, English

Province

Chongqing

University/Lab Affiliation and Title	Chongqing Medical University
Faculty	Basic Medical Sciences
Academic Background & Achievements	2013.09-2019.07 PhD in Bioinformatics: Chongqing University 2017.09-2019.07 Joint PhD Training in Bioinformatics: Zhejiang University 2008.09-2012.07 Bachelor's in Chemical Engineering and Pharmacy: Southwest University
Work Experience	2019.07-present - Chongqing Medical University - Associate Professor, Master's Supervisor 2017.09-2019.07 - Zhejiang University - Joint PhD Training in Bioinformatics
Awards	2023: Chongqing Excellent Undergraduate Thesis Supervisor 2021, 2023: Chongqing Medical University Excellent Undergraduate Thesis Supervisor 2021: Second Prize, 7th 'Internet+' University Student Innovation and Entrepreneurship Competition, Chongqing Medical University

University/Lab Affiliation and Title

Chongqing Medical University

Faculty

Basic Medical Sciences

Academic Background & Achievements

2013.09-2019.07 PhD in Bioinformatics: Chongqing University
2017.09-2019.07 Joint PhD Training in Bioinformatics: Zhejiang University
2008.09-2012.07 Bachelor's in Chemical Engineering and Pharmacy: Southwest University

Work Experience

2019.07-present - Chongqing Medical University - Associate Professor, Master's Supervisor
2017.09-2019.07 - Zhejiang University - Joint PhD Training in Bioinformatics

Awards

2023: Chongqing Excellent Undergraduate Thesis Supervisor
2021, 2023: Chongqing Medical University Excellent Undergraduate Thesis Supervisor
2021: Second Prize, 7th 'Internet+' University Student Innovation and Entrepreneurship Competition, Chongqing Medical University

Areas of Focus	Bioinformatics and Placental Development
Publications	GIMICA: host genetic and immune factors shaping human microbiota, J. Tang, X. L. Wu, M. J. Mou, C. Wang, L. D. Wang, F. C. Li, M. Y. Guo, J. Y. Yin, W. Q. Xie, X. N. Wang, Y. X. Wang, Y. B. Ding, W. W. Xue, F. Zhu, 2021 A Critical Assessment of Clustering Algorithms to Enhance Cell Clustering and Identification Accuracy in Single-cell Transcriptome Study, X Laing, L. J. Cao, H. Cheng, L.D. Wang, Y.Y. Wang, L.J. Fu, X. Q. Tan, E. X. Chen, Y. B. Ding, J. Tang, 2023 ANPELA: analysis and performance-assessment of the label-free quantification workflow for metaproteomic studies, J. Tang, J. B. Fu, Y. X. Wang, B. Li, Y. H. Li, Q. X. Yang, X. J. Cui, J. J. Hong, X. F. Li, Y. Z. Chen, W. W. Xue, F. Zhu, 2020 A critical assessment of the feature selection methods used for biomarker discovery in current metaproteomic studies, J. Tang, Y. X. Wang, J. B. Fu, Y. Zhou, Y. C. Luo, Y. Zhang, B. Li, Q. X. Yang, W. W. Xue, Y. Lou, Y. Q. Qiu, F. Zhu, 2020 MetaFS: Performance assessment of biomarker discovery in metaproteomics, J. Tang, M. J. Mou, Y. X. Wang, Y. C, Luo, F. Zhu, 2021 Simultaneous improvement in the precision, accuracy and robustness of label-free proteome quantification by optimizing data manipulation chains, J. Tang, J. B. Fu, Y. X. Wang, Y. C. Luo, Q. X. Yang, B. Li, G. Tu, J. J. Hong, X. J. Cui, Y. Z. Chen, L. X. Yao, W. W. Xue, F. Zhu, 2019 Identification of the hub genes in polycystic ovary syndrome based on disease-associated molecule network, Y. Wu, L. P. Yang, X. L. Wu, L. D. Wang, H. B. Qi, Q. Feng, Bin. Peng, Y. B. Ding, J. Tang, 2023 LncRNA functional annotation with improved false discovery rate achieved by disease associations, Y. H. Wang, J. C. Zhai, X. L. Wu, E. A. Adu-Gyamfi, L. P. Yang, T. H. Liu, M. J. Mang, Y. B. Ding, F. Zhu, Y. X. Wang, J. Tang, 2021 NOREVA: normalization and evaluation of MS-based metabolomics data, B. Li, J. Tang, Q. X. Yang, S. Li, X. J. Cui, Y. H. Li, Y. Z. Chen, W. W. Xue, X. F. Li, W. W. Xue, F. Zhu, 2017

Areas of Focus

Bioinformatics and Placental Development

Publications

GIMICA: host genetic and immune factors shaping human microbiota, J. Tang, X. L. Wu, M. J. Mou, C. Wang, L. D. Wang, F. C. Li, M. Y. Guo, J. Y. Yin, W. Q. Xie, X. N. Wang, Y. X. Wang, Y. B. Ding, W. W. Xue, F. Zhu, 2021
A Critical Assessment of Clustering Algorithms to Enhance Cell Clustering and Identification Accuracy in Single-cell Transcriptome Study, X Laing, L. J. Cao, H. Cheng, L.D. Wang, Y.Y. Wang, L.J. Fu, X. Q. Tan, E. X. Chen, Y. B. Ding, J. Tang, 2023
ANPELA: analysis and performance-assessment of the label-free quantification workflow for metaproteomic studies, J. Tang, J. B. Fu, Y. X. Wang, B. Li, Y. H. Li, Q. X. Yang, X. J. Cui, J. J. Hong, X. F. Li, Y. Z. Chen, W. W. Xue, F. Zhu, 2020
A critical assessment of the feature selection methods used for biomarker discovery in current metaproteomic studies, J. Tang, Y. X. Wang, J. B. Fu, Y. Zhou, Y. C. Luo, Y. Zhang, B. Li, Q. X. Yang, W. W. Xue, Y. Lou, Y. Q. Qiu, F. Zhu, 2020
MetaFS: Performance assessment of biomarker discovery in metaproteomics, J. Tang, M. J. Mou, Y. X. Wang, Y. C, Luo, F. Zhu, 2021
Simultaneous improvement in the precision, accuracy and robustness of label-free proteome quantification by optimizing data manipulation chains, J. Tang, J. B. Fu, Y. X. Wang, Y. C. Luo, Q. X. Yang, B. Li, G. Tu, J. J. Hong, X. J. Cui, Y. Z. Chen, L. X. Yao, W. W. Xue, F. Zhu, 2019
Identification of the hub genes in polycystic ovary syndrome based on disease-associated molecule network, Y. Wu, L. P. Yang, X. L. Wu, L. D. Wang, H. B. Qi, Q. Feng, Bin. Peng, Y. B. Ding, J. Tang, 2023
LncRNA functional annotation with improved false discovery rate achieved by disease associations, Y. H. Wang, J. C. Zhai, X. L. Wu, E. A. Adu-Gyamfi, L. P. Yang, T. H. Liu, M. J. Mang, Y. B. Ding, F. Zhu, Y. X. Wang, J. Tang, 2021
NOREVA: normalization and evaluation of MS-based metabolomics data, B. Li, J. Tang, Q. X. Yang, S. Li, X. J. Cui, Y. H. Li, Y. Z. Chen, W. W. Xue, X. F. Li, W. W. Xue, F. Zhu, 2017

Bioinformatics Placental Development Stem Cell Differentiation Reproductive Diseases Human Trophoblast Physiological Processes Pathological Mechanisms Software Development Data Analysis Genomics

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