(1) 2008-09 至 2011-06, 西南大学, 数学, 博士

(2) 2005-09 至 2008-06, 西南大学, 应用数学, 硕士

(3) 1997-09 至 2001-06, 西南大学, 数学, 学士

(1) 2013-07 至 今, 西南大学, 数学与统计学院, 副教授

(2) 2017-09 至 2018-09, 加拿大York University, Department of Mathematics & Statistics, 访问学者

(3) 2011-11 至 2012-11, University of Hertfordshire, 英国，博士后

(4) 2010-10 至 2011-10, Rothamsted Research, 英国，博士后

计算生物学，生物信息学

概率论与数理统计，非参数统计，分类数据分析，高等数学

(1) 国家自然科学基金委员会, 青年科学基金项目, 11701471, 结核病基因转录组学数据挖掘方法的研究, 2018-01-01 至 2020-12-31, 21万元, 结题, 主持

(2) 重庆市科技局, 重庆市自然科学基金面上项目, 2023NSCQ-MSX2841, m6A调节因子及其相关的lncRNA在癌症预后及免疫治疗反应中的价值研究, 2023-08 至 2026-07, 5万元, 在研, 主持

(3) 重庆市科技局, 重庆市基础科学与前沿技术研究项目, cstc2017jcyjAX0476, 结核病基因组学数据挖掘的综合策略研究, 2017-07 至 2020-06, 5万元, 结题, 主持

第一作者：

(1) X Zhang, Z Ye, G Xiao, T He. Prognostic signature construction and immunotherapy response analysis for Uterine Corpus Endometrial Carcinoma based on cuproptosis-related lncRNAs. Computers in Biology and Medicine, 2023, 159: 106905.

(2) X Zhang, X Yin, Z Ye, G Liang. Identification of drug targets and prognosis projection for uterine carcinosarcoma based on alternative splicing events. Computers in Biology and Medicine, 2023, 152: 106346.

(3) X Zhang, Z Ye, J Chen, F Qiao. AMDBNorm: an approach based on distribution adjustment to eliminate batch effects of gene expression data. Briefings in Bioinformatics, 2022, 23(1): bbab528.

(4) X Zhang, K Kim, Z Ye, J Wu, F Qiao, Q Zou. Clustering of genes from microarray data using hierarchical projective adaptive resonance theory: a case study of tuberculosis. Briefings in Functional Genomics, 2022, 21(2): 113-127.

(5) 张旭, 乔峰, 吴佩望. 基于三种贝叶斯方法的结核病基因数据挖掘及生物信息学分析. 工程数学学报, 2021, 38(5): 601-609.

(6) X Zhang, H Ma, Q Zou, J Wu. Analysis of Cyclin-Dependent Kinase 1 as an Independent Prognostic Factor for Gastric Cancer Based on Statistical Methods. Frontiers in Cell and Developmental Biology, 2020, 8: 620164.

(7) X Zhang, D Chen, W Yang, J Wu. Identifying candidate diagnostic markers for tuberculosis: A critical role of co-expression and pathway analysis. Mathematical Biosciences and Engineering, 2019, 16(2): 541-552.

通讯作者*：

(8) T He, Z Gao, L Lin, X Zhang*, Q Zou. Prognostic signature analysis and survival prediction of esophageal cancer based on N6-methyladenosine associated lncRNAs. Briefings in Functional Genomics, 2023, elad028.

(9) Y Hua, H Wang, Z Ye, D Zheng, X Zhang*. An integrated pan-cancer analysis of identifying biomarkers about the EGR family genes in human carcinomas. Computers in Biology and Medicine, 2022, 148: 105889.

(10) Y Hua, Z He, X Zhang*. A pan-cancer analysis based on weighted gene co-expression network analysis identifies the biomarker utility of lamin B1 in human tumors. Cancer Biomarkers, 2022, 34: 23-39.

(11) F Qiao, X Zhang*. Construction and Comprehensive Analysis of a Special Competitive Endogenous RNAs Network to Reveal Potential Prognostic Biomarkers for Endometrial Carcinoma. Current Bioinformatics, 2021, 16(10): 1341-1354.

(12) P Song, J Chen, X Zhang*, X Yin. Construction of competitive endogenous RNA network related to circular RNA and prognostic nomogram model in lung adenocarcinoma. Mathematical Biosciences and Engineering, 2021, 18(6): 9806-9821.

(13) 乔峰, 张旭*. 子宫内膜癌内源竞争RNA网络的构建及综合分析. 西南师范大学 学报, 2021, 46(11): 15-22.

(14) H Ma, Z He, J Chen, X Zhang*, P Song. Identifying of biomarkers associated with gastric cancer based on 11 topological analysis methods of CytoHubba. Scientific Reports, 2021, 11:1331.

(15) 兰燕, 张旭*. 基于加权共表达网络预测结直肠癌的核心基因. 重庆理工大学学报(自然科学版), 2021, 35(03): 242-251.

(16) 侯丽云, 张旭*, 吴珍. 多种归⼀化方法对微阵列数据的作用分析及比较. 西南师范大学学报, 2020, 45(5): 98-102.

(17) Z Wu, X Zhang*, Z He, L Hou. Identifying candidate diagnostic markers for early stage of non-small cell lung cancer. PLoS ONE, 2019, 14(11): e0225080.