1. 教育经历

2012.09 - 2016.06  澳门新葡官网进入 计算机科学与技术 博士

2012.08 - 2013.08  Morehouse School of Medicine 大规模生物数据分析 访学

2009.09 - 2012.06  澳门新葡官网进入  计算机科学与技术 硕士

2005.09 - 2009.06  澳门新葡官网进入  计算机科学与技术 本科

2. 主要研究方向与研究兴趣

主要研究方向：生物信息学。生物信息学是在生命科学的研究中，以计算机为工具对生物信息进行储存、检索和分析的科学。研究兴趣包括基于游离DNA组织来源计算分析方法以及在老年痴呆症诊断上的应用、染色体三维结构计算等。

3. 代表性论文

[1]  Xiaoqing Peng, Hong-Dong Li, Fang-Xiang Wu, Jianxin Wang*. “Identifying the tissues-of-origin of circulating cell-free DNAs is a promising way in noninvasive diagnostics.” Briefings in Bioinformatics, 2021,22(3): 1-20.

[2]  Xiaoqing Peng*, Yiming Li, Xiangyan Kong, Xiaoshu Zhu, Xiaojun Ding*. “Investigating different DNA methylation patterns at the resolution of methylation haplotypes”. Frontiers in Genetics, 2021, online.

[3]  Xiaoshu Zhu, Jie Zhang, YunPei Xu, Jianxin Wang, Xiaoqing Peng*, Hongdong Li*. “Single-Cell Clustering Based on Shared Nearest Neighbor and Graph Partitioning”. Interdisciplinary Sciences: Computational Life Sciences, (2020): 1-14.

[4]  Xiaoshu Zhu, Lilu Guo, Yunpei Xu, Hong-Dong Li, Fang-Xiang Wu, Jianxin Wang, Xiaoqing Peng*. “A Global Similarity Learning for Clustering of Single-Cell RNA-Seq Data”. IEEE BIBM 2019. (计算机B类会议)

[5]  Xiaoqing Peng, Jianxin Wang*, Fang-Xiang Wu, Yi Pan. "Protein-Protein Interactions: Reliability Assessment and Application". Briefings in Bioinformatics, 2017,18(5):798-819.

[6]  Xiaoqing Peng, Xiaodong Yan, Jianxin Wang*. “Framework to Identify Protein Complexes Based on Similarity Preclustering”. Tsinghua Science and Technology, 2017, 22(1): 42-51.

[7]  Xiaoqing Peng, Jianxin Wang, Jun Huan, and Fang-Xiang Wu. "Double-layer clustering method to predict protein complexes based on power-law distribution and protein sublocalization". Journal of Theoretical Biology 395, (2016）: 186-193.

[8]  Xiaoqing Peng, Jianxin Wang, Jun Wang, Fang-Xiang Wu, and Yi Pan. "Rechecking the Centrality-Lethality Rule in the Scope of Protein Subcellular Localization Interaction Networks." PloS one 10, no. 6 (2015): e0130743.

[9]  Xiaoqing Peng, Jianxin Wang, Jiancheng Zhong, Junwei Luo, and Yi Pan. "An efficient method to identify essential proteins for different species by integrating protein subcellular localization information." In Bioinformatics and Biomedicine (BIBM), 2015 IEEE International Conference on, pp. 277-280. IEEE, 2015.  

[10]  Xiaoqing Peng, Jianxin Wang, Zhen Zhang, Qianghua Xiao, Min Li, and Yi Pan. "Re-alignment of the unmapped reads with base quality score." BMC bioinformatics 16, no. Suppl 5 (2015):S8.  

[11] Jianxin Wang, Xiaoqing Peng, Wei Peng, and Fang‐Xiang Wu. "Dynamic protein interaction network construction and applications." Proteomics 14, no. 4-5 (2014): 338-352.

[12]  Jianxin Wang, Xiaoqing Peng, Min Li, and Yi Pan. "Construction and application of dynamic protein interaction network based on time course gene expression data." Proteomics, 13, no. 2 (2013): 301-312.

[13]  Jianxin Wang, Xiaoqing Peng, Qianghua Xiao, Min Li, and Yi Pan. "An effective method

for refining predicted protein complexes based on protein activity and the mechanism of protein complex formation." BMC systems biology, 7, no. 1 (2013): 28.