从事机器学习，生物信息学，多变量统计分析等在代谢组学，单细胞组学，转录组学，基因组学，蛋白组学等多组学领域的应用，以及生物大数据信息深度挖掘新算法和软件的研发。
§ Xi Y, Zhang Y, Zheng K, Zou J, Gui L, Zou X, Chen L*, Hao J*, Zhang Y*. A chemotherapy response prediction model derived from tumor-promoting B and Tregs and proinflammatory macrophages in HGSOC. Front Oncol. 2023 Jul 14;13:1171582. doi: 10.3389/fonc.2023.1171582. PMID: 37519793; PMCID: PMC10382026.
§ Hao J, Zou J, Zhang J, Chen K, Wu D, Cao W, Shang G, Yang JYH, Wong-Lin K, Sun H, Zhang Z, Wang X, Chen W, Zou X. scSTAR reveals hidden heterogeneity with a real-virtual cell pair structure across conditions in single-cell RNA sequencing data. Briefings in Bioinformatics. 2023 Feb 22:bbad062. doi: 10.1093/bib/bbad062. Epub ahead of print. PMID: 36813563.
§ Zheng, K., Gao, L., Hao, J.*, Zou, X*. & Hu, X*. An immunotherapy response prediction model derived from proliferative CD4+ T cells and antigen-presenting monocytes in ccRCC. Frontiers in Immunology, 2022 Aug 25;13:972227. doi: 10.3389/fimmu.2022.972227. PMID: 36091022; PMCID: PMC9452905.
§ Zou J, Deng F, Wang M, Zhang Z, Liu Z, Zhang X, Hua R, Chen K*, Zou X*, Hao J*. scCODE: an R package for data-specific differentially expressed gene detection on single-cell RNA-sequencing data. Briefings in Bioinformatics. 2022 Sep 20;23(5),1-14:bbac180. doi: 10.1093/bib/bbac180. PMID: 35598331.
§ Ji L#, Fu J#, Hao J#, Ji Y, Wang H, Wang Z, Wang P, Xiao H. Proteomics analysis of tissue small extracellular vesicles reveals protein panels for the reoccurrence prediction of colorectal cancer. Journal of Proteomics. 2021 Aug 9;249:104347.
§ Zou X, Chen K, Zou JW, Han PY, Hao J*, Han ZG*,Single-cell RNA-seq data analysis on the receptor ACE2 expression reveals the potential risk of different human organs vulnerable to 2019-nCoV infection, Frontiers of medicine, 2020, 14(2): 185‒192.
§ Zhang X, He Y, Gu H, Liu Z, Li B, Yang Y, Hao J* and Hua R*, Construction of a Nine-MicroRNA-Based Signature to Predict the Overall Survival of Esophageal Cancer Patients. Frontiers in Genetics, 2021, 12:670405.
§ Ye LF, Beskos A, Iorio MD, Hao J, Monte Carlo Co-Ordinate Ascent Variational Inference，Statistics and Computing, 30, 887–905, 2020.
§ Hao J#, Cao W#, Huang J, Zou X*, Han ZG*, Optimal Gene Filtering for Single-Cell data (OGFSC) – a gene filtering algorithm for single-cell RNA-seq data, Bioinformatics, 2019, 35：2602-2609.
§ Hao J, Liebeke M, Sommer U, Viant MR，Bundy JG, Ebbels T，2016， Statistical correlations between NMR spectroscopy and direct infusion FT-ICR mass spectrometry aid annotation of unknowns in metabolomics. Analytical Chemistry，88:2583-2589.
§ Hao J, Liebeke M, Astle W, De Iorio M, Bundy JG, Ebbels T, 2014, Bayesian Deconvolution and Quantitation of Metabolites in Complex 1D NMR Spectra Using BATMAN, Nature Protocols, Vol:9, ISSN:1754-2189, Pages:1416-1427.
§ Hao J, Astle W, De Iorio M, Ebbels T, 2012, BATMAN—an R package for the automated quantification of metabolites from NMR spectra using a Bayesian Model. Bioinformatics, 28(15): 2088-90.
§ Hao J, Zou X, Wilson M, Davies NP, Sun Y, Peet AC, Arvanitis TN, 2012, A Hybrid Method of Applying Independent Component Analysis on in vivo 1H Magnetic Resonance Spectra of Childhood Brain Tumours, NMR in Biomedicine, 25: 594–606.
§ Hao J, Zou X, Wilson MP, Davies NP, Sun Y, Peet AC, Arvanitis TN, 2009, A comparative study of feature extraction and blind source separation of independent component analysis (ICA) on childhood brain tumour 1H magnetic resonance spectra, NMR in Biomedicine, 22(8):809-818.
