Aixiang Jiang, MS

Assistant in Biostatistics

Phone: 615.936.7360
Fax: 615.936.2602


  • Master of Science in biostatistics, October 2005, University of Minnesota
  • Master of Science in software engineering, May 2002, University of St. Thomas
  • Master of Science in pharmacology with minor in statistics, May 2002, University of Minnesota
  • Master of Science in quantitative genetics, July 1991, China

Journal Reviewer

Research Interests

  • Microarray data normalization and analysis, including gene expression, exon, DNA methylation cDNA, CGH, SNP, and Chip-on-chip data.
  • Single gene, groups of genes or signal pathways testing.
  • False discovery rate.
  • Copy number analysis based on CGH or SNP intensity data.
  • Clustering and classification.
  • Correlation.
  • Random forest.
  • MDS (multidimensional scaling).
  • SVM (support vector machine).
  • 3D rotatable plot display.


  • ENAR:
  1. March 2010, Testing the significance of overlapping sets in a Venn diagram
  2. March 2009, Rank-based similarity metric with tolerance
  3. March 2008,Statistical methods for DNA copy number abnormality detection based on decomposition of intensity multimodal
  4. March 2007, Are BOEC more like large vessel or microvascular endothelial cells or neither of them?

  • JSM: July 2007, Local false discovery rate estimation based on Bootstrap null distribution of control group samples
  • Department of biostatistics seminars:
  1. Jan 2010, Microarray data analysis across multiple datasets
  2. Sep 2007, Local false discovery rate estimation based on Bootstrap null distribution of control group samples
  3. Nov 2006, Are BOEC cells more like large vessel or microvascular endothelial cells or neither of them?
  • VICC biostatistics workshops:
  1. March 2010, Multiple Testing Corrections and FDR Adjustments for Microarray Data
  2. Analysis
  3. Oct 2009, From mouse model to predicting human survival.
  • GIBH (Guangzhou Institute of Biomedicine and Health, Chinese Academy of Sciences):
  1. July 2009, Introduction of experiment design and data analyses
  2. Dec 2008, Discussion of Microarray Analysis Trends with Case Studies
  • SCBIT (Shanghai Center for Bioinformation Technology):Dec 2008, New local false discovery rate estimation method: COfdr
  • NSF Workshop on Quantitative Omics Data Analysis:Nov 2007, Local false discovery rate estimation based on Bootstrap null distribution of control group samples
  • Environment and Plant Protection Institute, Chinese Academy of Tropical Agricultural Sciences: June 2010, Modeling strategies for repeated measurement data


Publications in English

  1. Rosenbluth JM, Mays DJ, Jiang A, Shyr Y, Pietenpol JA., Differential regulation of the p73 cistrome by mammalian target of rapamycin reveals transcriptional programs of mesenchymal differentiation and tumorigenesis, PNAS, 2011, in press.
  2. Brantley-Sieders DM, Dunaway CM, Rao M, Short S, Hwang Y, Gao Y, Li D, Jiang A, Shyr Y, Wu DJ, Chen J., Angiocrine factors modulate tumor proliferation and motility through EphA2 repression of Slit2 tumor suppressor function in endothelium, Cancer Res, 2011,in press.
  3. Engelhardt BG, Jagasia M, Savani BN, Bratcher NL, Greer JP, Jiang A, Kassim AA, Lu P, Schuening F, Yoder SM, Rock MT, Crowe JE Jr, Regulatory T cell expression of CLA or alpha(4)beta(7) and skin or gut acute GVHD outcomes, Bone Marrow Transplantation,2010, in press.
  4. Ocak S, Yamashita H, Udyavar AR, Miller AN, Gonzalez AL, Zou Y, Jiang A, Yi Y, Shyr Y, Estrada L, Quaranta V, Massion PP, DNA copy number aberrations in small-cell lung cancer reveal activation of the focal adhesion pathway, Oncogene, 2010 Dec 2;29(48):6331-42.
  5. Russell A, Boone B, Jiang A, Sealy L., Genomic profiling of C/EBPβ2 transformed mammary epithelial cells: a role for nuclear interleukin-1β, 2010, Cancer Biology & Therapy, 10(5): 509-19.
  6. Smith JJ, Deane NG, Wu F, Merchant NB, Zhang B, Jiang A, Lu P, Johnson JC, Schmidt C, Edwards CM, Eschrich S, Kis C, Levy S, Washington MK, Heslin MJ, Coffey RJ, Yeatman TJ, Shyr Y and Beauchamp RD, An Experimentally Derived Metastasis Gene Expression Profile Predicts Recurrence and Death in Colon Cancer Patients, 2010, Gastroenterology, 138( 3): 958-968
  7. Massion PP, Zou Y, Chen H, Jiang A Coulson P, Amos CI, Wu X, Wistuba I, Wei Q, Shyr Y, Spitz MR, Smoking-Related Genomic Signatures in Non-Small Cell Lung Cancer, Am J Respir Crit Care Med. 2008 Dec 1;178(11):1164-72
  8. Milbauer LC, Wei P, Enenstein J, Jiang A, Hillery CA, Nelson SC, Bodempudi V, Topper JN, Yang RB, Hirsch B, Pan W, Hebbel RP ( L.C.M, P.W., J.E., and A.J. contributed equally to this work ), 2008, Genetic endothelial systems biology of sickle stroke risk, Blood. 2008 Apr 1;111(7):3872-9
  9. Hebbel RP, Wei P, Jiang A, et al, Genetic influence on the systems biology of sickle stroke risk detected by, endothelial gene expression, Blood, 2007 Nov 16; 110(11): 132A
  10. Jiang A, Pan W, Milbauer LC, Shyr Y, Hebbel RP, 2007, A practical question based on cross-platform microarray data normalization: are BOEC cells more like large vessel or microvascular endothelial cells or neither of them? Journal of Bioinformatics and Computational Biology, vol5 no4, p875-893
  11. Shames DS, Girard L, Gao B, Sato CM, Shivapurkar N, Jiang A, Perou CM, Kim YH, Pollack JR, Fong KM, Lam CL, Wong M, Shyr Y, Nanda R, Olopade OI, Gerald W, Euhus SM, Shay JW, Gazdar AF, Minna JD, 2006, A Genome-Wide Screen for Promoter Methylation in LUng Cancer Identifies Noval Methylation marjers for Multiple Malignancies, Plos Medicine, 3(12): 2244-2263.
  12. Pan W, Shen X, Jiang A and Hebbel RP, 2006, Semi-Supervised Learning via Penalized Mixture Model with Application to Microarray Sample Classification, BIOINFORMATICS 22 (19): 2388-2395.
  13. Hebbel RP, Jiang A, Hillery LC, et al, 2005, Genetic influence on the systems biology of sickle stroke risk detected by endothelial gene expression. BLOOD 106 (11): 26A.
  14. Wilson MJ, Jiang A, Wiehr C, Wang X, Sinha AA, Pei D., 2004, Limited processing of pro-matrix metalloprotease-2 (gelatinase A) overexpressed by transfection in PC-3 human prostate tumor cells: association with restricted cell surface localization of membrane-type matrix metalloproteinase-1, J Androl. 2004 Mar-Apr;25(2):274-285.
  15. Jiang, A. and D. Pei, 2003, Distinct Roles of Catalytic and Pexin-like Domains in MT-MMP Mediated proMMP-2 Activation and Collagenolysis, Journal of Biological Chemistry, 278 (40): 38765-38771.
  16. Jiang, A. et al.,2001, Regulation of membrane-type matrix metalloproteinase 1 activity by dynamin-mediated endocytosis, PNAS (Proceedings of the National Academy of Sciences), 98(24):13693-13698.
  17. Kang T, Yi J, Yang W, Wang X, Jiang A , Pei D, 2000, Functional characterization of MT3-MMP in transfected MDCK cells: progelatinase A activation and tubulogenesis in 3-D collagen lattice, FASEB JOURNAL 14 (15): 2559-2568.
  18. Lei, J., A. Jiang and D. Pei, 1998, Identification and characterization of a new splicing variant of vascular endothelial growth factor: VEGF183, Biochemica et Biophysica Acta 1443 (1998) 400-406.
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Topic revision: r41 - 27 Jan 2011, AixiangJiang

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