我的研究成果：（2015年以后）

1.  Cancan Li, Qi Dai, He, Ping-an He*, A time series representation of protein sequences for similarity comparison, Journal of Theoretical Biology, 2022, 538:111039.

2.   Liugen Wang, Min Shang, Qi Dai, Ping-an He*, Prediction of lncRNA-disease association based on a Laplace normalized random walk with restart algorithm on heterogeneous networks, BMC Bioinformatics, 2022, 23(1). 

3.  Jiahe Huang, Qi Dai, Yuhua Yao, Ping-an He*, A Generalized Iterative Map for Analysis of Protein Sequences, Comb Chem High Throughput Screen, 2022, 25(3): 381-391.

4.  Tianyu Zhu, Qi Dai, Ping-an He*, Identification of Potential Immune-related Biomarkers in Gastrointestinal Cancers, Current Bioinformatics, 2021, 16(9): 1203-1213.

5.  Shuang Qiu,^# Zheng An^#, Renbo Tan,^# Ping-an He^#, Jingjing Jing, Hongxia Li, Shuang Wu, Ying Xu*, Understanding the unimodal distributions of cancer occurrence rates: it takes two factors for a cancer to occur. Briefings in Bioinformatics, 2020, 22(4): 1-11.

6.  Ping-an He*, Longao Hou, Hong Tao, Qi Dai, Yuhua Yao, An Analysis Model of Protein Mass Spectrometry Data and Its Application, Current Bioinformatics, 2020, 15(9): 1010-1016.

7.  Li Huang, Xianhong Li, Pengfei Guo, Yuhua Yao, Bo Liao, Weiwei Zhang, Fayou Wang, Jiasheng Yang, Yulong Zhao, Hailiang Sun, Ping-an He*, Jialiang Yang*, Matrix completion with side information and its applications in predicting the antigenicity of influenza viruses Bioinformatics, 2017, 33(20): 3195-3201. 

8.  Ping an He*, Hong Tao, Tingting Ma, Qi Dai, Yuhua Yao, A Novel Protein Characterization Based on Pseudo Amino Acids Composition and Star-Like Graph Topological Indices, Combinatorial Chemistry & High Throughput Screening, 2017, 20(4): 328-337.

9.  Ping-an He*, Suning Xu, Qi,Dai, Yuhua Yao, A generalization of CGR representation for analyzing and comparing protein sequences，International Journal of Quantum Chemistry，2016，116 (6): 476-482.Jing

10.  Ping-an He*, Daoli Yu, Tingting Ma, Zhixin Tie, Phylogenetic Analysis of HA Protein of Influenza A Virus Based on a Novel Alignment-Free Method，Match-Communications in Mathematical and in Computer Chemistry, 2015, 74(3): 591-606.

‍

主持完成的基金项目：

1. 基于血清蛋白组表达谱分析模型的癌症分期预测研究，2018.01-2021.12，主持。项目批准号：61772027，国家自然科学基金；

2. 基于蛋白序列图形表示的膜蛋白结构与功能预测研究，2012.01-2015.12，主持。项目批准号：61170110，国家自然科学基金；

2. 肿瘤蛋白组表达谱分析的数学模型及其应用研究，浙江省自然科学基金（已结题）

3. 基于血清蛋白组表达谱分析模型的早期肿瘤诊断技术研究，浙江省钱江人才计划项目。（已结题）

4. 药物相关膜蛋白分析预测的若干数学方法，浙江省自然科学基金（已结题）

 奖励：

蛋白序列信息定量描述模型理论方法研究，浙江省自然科学奖三等奖，2018年。