Zhide Fang, Ph.D.

Professor & Director, Biostatistics, School of Public Health

Professor (conjoint), Genetics, School of Medicine 

2020 Gravier Street, 3rd Floor, Lion Building
New Orleans, LA 70112
Phone: (504) 568 - 6089
Fax: (504) 568-5701

Research Interests
  • Bioinformatics: Microarray, Next-generation sequencing data analysis; DNA copy number analysis; Metagenomics; microRNA; Gene set enrichment/Pathway analysis;
  • Big Data Algorithms;
  • Variable selection algorithms;
  • Design of Experiments;
  • Survival Analysis; Reliability analysis; Statistical computation;
  • The Theory of Canonical Moments.
Teaching Activities
  • Advanced Statistical Theory
  • Statistical Genetics
  • Design and Analysis of Expression Studies
  • Design and Analysis of Experiments
  • Survival Analysis
  • Categorical Data Analysis
  • Nonparametric Statistics
  • Time Series Analysis
  • Longitudinal Data Analysis
Committees & Administrative Responsibilities
  • Director (8/2015 - Now). Biostatistics, School of Public Health, LSUHSC
  • Acting Director (10/2013 - 7/2015). Biostatistics, School of Public Health, LSUHSC
  • LSUHSC Scool of Public Health Adminitractive Councel and Faculty Affairs (10/2013 – ).
  • LSUHSC Scool of Public Health Research Committee (10/2013 – ).
  • Graduate Coordinator (10/2008 - 7/2015). Biostatistics, School of Public Health, LSUHSC
  • Appointment, Promotion and Tenure Committee (08/2009 - 07/2013), School of Public Health, LSUHSC
  • Curriculum Committee (06/2012 - 10/2013), School of Public Health, LSUHSC
  • Grievance Committee (09/2013 - 10/2013), School of Public Health, LSUHSC
  • Faculty Senator (01/2012 - 06/2012), LSUHSC
  • Colloquium Committee (2007 - 2008), Department of Mathematics, University of New Orleans, Chair.
  • Courses and Curricula Committee (2001 - 2008), Department of Mathematics, University of New Orleans.
  • Course Coordinating Committee - Elementary Statistics (2006 - 2008), Department of Mathematics, University of New Orleans, Chair.
  • Vice President (2002 - 2003), Louisiana Chapter of American Statistical Association.
  • President (2003 - 2004), Louisiana Chapter of American Statistical Association.
  • Secretary/Treasurer (2004 - 2005), Louisiana Chapter of American Statistical Association.
Selected Publications

Peer-reviewed Publications

Book/Book Chapters

  1. R. Du, Zhide Fang* (2014). Analysis of metagenomic data. In: Statistical Analysis of Next Generation Sequencing Data, Daniel Nettleton and Somnath Datta (eds), Springer, 335-353. (*Corresponding author)

Big Data Algorithms

  1. Z. Chen, Zhide Fang, V. Sheng, J. Zhao, W. Fan, A. Edwards, K. Zhang (2021). Adaptive robust local online density estimation for streaming data. International Journal of Machine Learning & Cybernetics, February, 2021, doi:
  2. Z. Chen, Zhide Fang, W. Fan, A. Edwards, K. Zhang (2018). Online Density Estimation over Streaming Data: A Local Adaptive Solution. IEEE International Conference on Big Data, Seattle, USA, Dec. 10-13. Accepted regular paper
  3. Z. Chen, Zhide Fang, J. Zhao, W. Fan, A. Edwards, K. Zhang (2017). An Effective Framework for Cost-sensitive Sparse Online Learning. SIAM Data Mining 2017, 759 - 767. PubMed PMID: 29861512; PubMed Central PMCID: PMC5978435.


  1. S. Yang, K. Zhang, Zhide Fang* (2020). Robust RNA-seq data analysis using an integrated method of ROC curve and Kolmogorov–Smirnov test. Communications in Statistics – Simulation and Computation, doi: (*Corresponding author)
  2. H. Lin, X. Wang, …, Zhide Fang, …, J.Y. Park, The Practical Consortium (2021). Alcohol intake and alcohol-SNP interactions associated with prostate cancer aggressiveness. Journal of Clinical Medicine, 10 (3): 553. Doi:
  3. M-A.I. Kautzmann, W.C. Gordon, B. Jun, K.V. Do, B.J. Matherne, Zhide Fang, N.G. Bazan (2020). Membrane‐type frizzled‐related protein regulates lipidome and transcription for photoreceptor function. The FASEB Journal, 01/2020, 34(1): 912 – 929. PMID: 31914617, PMCID: PMC6956729. doi:
  4. M. Heath, R. Buckley, Z. Gerber, P. Davis, L. Linneman, Q. Gong, B. Barkemeyer, Zhide Fang, M. Good, D. Fenn, S. Kim (2019). Association of intestinal alkaline phosphatase with necrotizing enterocolitis among premature infants. The Journal of American Medical Association (JAMA) Network Open, 11/2019; 2(11): e1914996. PMID: 31702803, PMCID: PMC6902776. doi:10.1001/jamanetworkopen.2019.14996.
  5. S. Sinha, H. Brown, J. Tabak, Zhide Fang, M. Couetoux du Tertre, S. McNamara, K. Gambaro, G. Batist, JF. Buell (2019). Multiplexed real-time polymerase chain reaction cell-free DNA assay as a potential method to monitor stage IV colorectal cancer. Surgery, October 2019, 166 (4): 534 - 539. PMID 31378479. DOI:
  6. H. Lin, C.Y. Callan, Zhide Fang, H.Y. Tung, J.Y. Park (2019). Interactions of PVT1 and CASC11 on Prostate Cancer Risk in African Americans. Cancer Epidemiology, Biomarkers & Prevention, June 1, 2019, 28(6): 1067 – 1075. DOI: 10.1158/1055-9965.EPI-18-1092. PMID: 30914434.
  7. A.M. DiGiorgio, P.V. Mummaneni, J.L Fisher, A.G. Podet, C.L. Crutcher II, M.S. Virk, Zhide Fang, J.D. Wilson, G.C. Tender, F. Culicchia (2019). Change in policy allowing overlapping surgery decreases length of stay in an academic, safety- net hospital. Operative Neurosurgery, 2019 Mar 28; doi: 10.1093/ons/opz009. PubMed PMID: 30919890.
  8. W.J. Lukiw, T.P.A. Kruck, M.E. Percy, A. I. Pogue, P, N. Alexandrov, W. J. Walsh, N. M. Sharfman, V. R. Jaber, Y. Zhao, W. Li, C. Bergeron, F. Culicchia, Zhide Fang, D. R.C. McLachla (2019). Aluminum in neurological disease – a 36 year multicenter study. Journal of Alzheimers Disease & Parkinsonism. 2019, 8(6). doi: 10.4172/2161-0460.1000457. Epub 2018 Nov 29. PubMed PMID: 31179161; PubMed Central PMCID: PMC6550484.
  9. R. Du, L. An, Zhide Fang* (2018). Performance evaluation of normalization approaches for metagenomic compositional data on differential abundance analysis. In: Frontiers of Biostatistics and Bioinformatics (eds: Y. Zhang and D.G. Chen), Springer, to appear. (*Corresponding author)
  10. R. Du, Zhide Fang* (2018). Statistical correction for functional metagenomic profiling of a microbial community with short NGS reads. Journal of Applied Statistics, 45(14): 2521 - 2535.(*corresponding author)
  11. T.F. Ferguson, X. Wang, L. Dyer, S. Straif-Bourgeois, D. Rojas, P. Maloney, Zhide Fang, L. Besch (2018). Increasing CVD and CVD risk among PLWHA in Louisiana 2002-2012. Circulation, 2018, 137(Suppl_1): AP187.
  12. H. Bazan, Y. Lu, B. Jun, Zhide Fang, T.C. Woods, S. Hong (2017). Circulating inflammation-resolving lipid mediators mediators RvD1 and DHA are decreased in patients with acutely symptomatic carotid disease. Prostaglandins, Leukotrienes and Essential Fatty Acids (PLEFA), 125: 43 – 47. PubMed PMID: 28987721; PubMed Central PMCID: PMC5909403.
  13. S. Yang, Zhide Fang* (2017). Beta approximation of ratio distribution and its application to next generation sequencing read counts. Journal of Applied Statistics, 44(1): 57 - 70. PubMed PMID: 29456282; PubMed Central PMCID: PMC5812702 (*Corresponding author)
  14. A. E. Musto, R. F. Rosencrans, C. P. Walker, S. Bhattacharjee, Zhide Fang, C. M. Raulji, W. C. Gordon, N. G. Bazan (2016). Corrigendum: Dysfunctional epileptic neuronal circuits and dysmorphic dendritic spines are mitigated by platelet-activating factor receptor antagonism. Scientific Reports, 6: 32253.
  15. C.D. Kim, R.E. Reed, M.A. Juncker, Zhide Fang, S.D. Desai (2017). Evidence for the Deregulation of Protein Turnover Pathways in Atm-deficient Mouse Cerebellum: An Organotypic Study. Journal of Neuropathology and Experimental Neurology, 2017 76(7): 578 - 584.
  16. H. Lin, D. Chen, ..., Zhide Fang, ..., J. Park (2017). SNP Interaction Pattern Identifier (SIPI): An Intensive Search for SNP-SNP Interaction Patterns. Bioinformatics, 33(6): 822 - 833.
  17. A Musto, R Rosencrans, C Walker, S Bhattacharjee, C Raulji, L Belayev, Zhide Fang, WC Gordon, N Bazan (2016). Dysfunctional epileptic neuronal circuits and dysmorphic dendritic spines are mitigated by platelet-activating factor receptor antagonism. Scientific Reports, 6: 30289.
  18. S. Yang, D. Mercante, K. Zhang, Zhide Fang* (2016). An Integrated Approach for RNA-seq Data Normalization. Cancer Informatics, 15: 129 - 141. (*Corresponding author)
  19. W. Zhang, A. Edwards, Zhide Fang, E. Flemington, K. Zhang (2016). Integrative Genomics and Transcriptomics Analysis Reveals Potential Mechanisms for Favorable Prognosis of Patients with HPV-Positive Head and Neck Carcinomas. Scientific Reports, 6: 24927.
  20. L. Peres, E. Trapido, A. Rung, D. Harrington, E. Oral, Zhide Fang, E. Fontham, E. Peters (2016). The Deepwater Horizon Oil Spill and Physical Health among Adult Women in Southern Louisiana: The Women and Their Children’s Health (WaTCH) Study. Environmental Health Perspectives, 124(8): 1208 - 1213. DOI:10.1289/ehp.1510348.
  21. T. Henegan, B. Stefanska, Zhide Fang, A. Navard, J. Ye, N. Lenard, P. Devarshi (2015). Sodium butyrate epigenetically modulates high fat diet-induced skeletal muscle mitochondrial adaptation, obesity and insulin resistance through nucleosome positioning. British Journal of Pharmacology, 172(11):  2782–2798.
  22. R. Du, D. Mercante, L. An, Zhide Fang* (2014). A statistical approach to correcting cross-annotations in a metagenomic functional profile generated by short reads. Journal of Biometrics & Biostatistics, 5:208. (*Corresponding author)
  23. L. Fu, Z. Shi, G. Luo, W.Tu, X. Wang, ZhideFang, X. Li (2014). Multiple microRNAs regulate human FOXP2 gene expression by targeting sequences in its 3′ untranslated region. Molecular Brain, 2014, 7: 71.
  24. S. Yang, X. Cui, Zhide Fang* (2014). BCRgt: A Bayesian Cluster Regression-based Genotyping algorithm for the samples with Copy Number Alterations. BMC Bioinformatics, 2014, 15: 74. (*Corresponding author). Highly accessed.
  25. Z. Elmageed, Y. Yang, R. Thomas, K. Moparty, M. Ranjan, D. Mondal, K. Moroz, Zhide Fang, B. Rezk, S. Sikka1, O. Sartor, A. Abdel-Mageed (2014). Neoplastic   Reprogramming of Patient-Derived Adipose Stem Cells by Prostate Cancer Cell-Associated Exosomes. Stem Cells, 32(4): 983-997.
  26. W. Zhang, A. Edwards, Zhide Fang, P. Deininger, K. Zhang (2013). Inferring the expression variability of human transposable element-derived exons by linear model analysis of deep RNA sequencing data. BMC Genomics, 14: 584.
  27. R. Du, D. Mercante, Zhide Fang* (2013). An Artificial Functional Family Filter in Homolog Searching in Next-generation Sequencing Metagenomics. PLoS ONE, 8(3): e58669. (*Corresponding author)
  28. Z. Shi, G. Luo, L. Fu, Zhide Fang, X. Wang,  X. Li (2013). miR-9 and miR-140-5p Target FoxP2 and Are Regulated by the Social Context of Song Behavior in Zebra Finches. Journal of Neuroscience, 33(42): 16510 - 16521.
  29. Z. Elmageed, K. Moroz, S. Srivastav, Zhide Fang, B. Crawford, K. Moparty, R. Thomas and A. Abdel-Mageed (2013). High Circulating Estrogens and Selective Expression of ERß in Prostate Tumors of Americans: Implications for Racial Disparity of Prostate Cancer. Carcinogenesis, 34(9):  2017 - 2023.
  30. Zhide Fang , R. Du, A. Edwards, E. Flemington, K. Zhang (2013). The sequence structures of human microRNA molecules and their implications. PLoS ONE, 8(1): e54215.
  31. S. Yang, S. Pounds, K. Zhang, Zhide Fang* (2013). PAIR: Paired Allelic log-Intensity-Ratio based normalization method for SNP-CGH arrays.  Bioinformatics, 29(3): 299 - 307. (*Corresponding author)
  32. Zhide Fang , J. Martin, Z. Wang (2012). Statistical methods for identifying differentially expressed genes in RNA-Seq experiments. Cell & Bioscience, 2: 26.  Highly accessed.
  33. Zhide Fang , R. Du, X. Cui (2012). Uniform Approximation Is More Appropriate for Wilcoxon Rank-Sum Test in Gene Set Analysis. PLoS ONE, 7(2):  e31505.
  34. Zhide Fang, X. Cui (2011).   Design and Validation Issues in RNA-seq Experiments. Briefings in Bioinformatics, 12(3):  280 - 287.
  35. L. Gao*, Zhide Fang*, K. Zhang, D. Zhi, X. Cui (2011).   Length Bias Correction for RNA-seq Data in Gene Set Analyses. Bioinformatics,27(5):  662 - 669. (*Co-first author)
  36. J. Martin, V. Bruno, Zhide Fang, X. Meng, M. Blow, T. Zhang, G. Sherlock, M. Snyder, Z. Wang (2010).  Rnnotator: an automated de novo transcriptome assembly pipeline from stranded RNA-Seq reads. BMC Genomics, 11:  663.
  37. Zhide Fang , X. Li, L. Xu (2010).  A Multivariate Method for Normalization in Affymetrix Oligonucleotide Microarray Experiments. Journal of Data Science, 8(4): 505 - 519.
  38. C. Conrad, J. Zhu, C. Conrad, D. Schoenfeld, Zhide Fang, M. Ingelsson, S. Stamm, G. Church, B. Hyman (2007). Single Molecule Exon Profiling of Tau Gene Expression in Alzheimer's Disease, Journal of Neurochemistry, 103(3): 1228 - 1236.

Statistical Theory

  1. Y. Zhai, Zhide Fang* (2018). Locally Optimal Designs for Some Binary Dose-Response Models. Canadian Journal of Statistics, 46(2): 336 - 354. (*corresponding author)
  2. Y. Zhai, Zhide Fang* (2017). Locally Optimal Designs for Some Dose Response Models with Continuous Endpoints. Communications in Statistics – Theory and Methods, 47(16): 3803 - 3819. (*Corresponding author)
  3. J. Maronge, Y. Zhai, D. Wiens, Zhide Fang* (2017). Optimal Designs for Spline Wavelet Regression Models. Journal of Statistical Planning and Inference, 184: 94 - 104. PubMed PMID: 29033492; PubMed Central PMCID: PMC5638501 (*Corresponding author)
  4. S. Zhang, Zhide Fang, G. Liu (2013). Characterization of admissible linear estimators in multivariate linear model with respect to inequality constraints under matrix loss function. Communications in Statistics - Theory and Methods, 42(15):  2837 - 2850.
  5. Q. Yu, B. Li, Zhide Fang, L. Peng (2012). Model Guided Adaptive Design and Analysis in Computer Experiment. Statistical Analysis and Data Mining, 5(5):  399 - 409.
  6. S Zhang, Zhide Fang, H Qin, L Han (2011). Characterization of admissible linear estimators in the growth curve model with respect to inequality constraints. Journal of Korean Statistical Association, 40(2): 173 – 179.
  7. Q. Yu, B. Li, Zhide Fang, L. Peng (2010). An Adaptive Sampling Scheme Guided by BART – With an Application to Predict Processor Performance.  Canadian Journal of Statistics, 38(1):  136 - 152.
  8. Zhide Fang (2006), Some Robust Designs for Polynomial Regression Models, Canadian Journal of Statistics, 34(4):  623 - 638.
  9. Zhide Fang , D. Wiens, Z. Wu (2006), Locally D-Optimal Designs for Multi-Stage Models and Heteroscedastic Polynomial Regression Models., Journal of Statistical Planning and Inference, 136(11):  4059 - 4070.
  10. Zhide Fang, D. Wiens (2004). Bayesian minimally supported D-optimal designs for an exponential regression models., Communication in Statistics-Theory and Methods, 33(5): 1187 - 1204.
  11. M.J. Zuo, Zhide Fang, J. Huang, X. Xu (2003). Performance Evaluation of Decreasing Multi-State Consecutive k-out-of-n: G Systems,, International Journal of Reliability, Quality and Safety Engineering, special issue on Multi-state Systems Reliability, 10(3):  345 - 358.
  12. Zhide Fang (2003). Extrapolation Designs with Constraints, Canadian Journal of Statistics, 31(4):  457 - 468.
  13. Zhide Fang , D. Wiens (2003), Robust Regression Designs for Approximate Polynomial Model, Journal of Statistical Planning and Inference, 117(4):  305 - 321.
  14. Zhide Fang (2003), D-Optimal Designs for Weighted Polynomial Regression., Statistics & Probability Letter, 63(2):  205 - 213.
  15. J. Huang, M.J. Zuo, Zhide Fang(2003). Multi-State Consecutive k-out-of n Systems,, IIE Transactions on Quality and Reliability Engineering, 35:  527 - 534.
  16. Zhide Fang (2002). D-Optimal Designs for Polynomial Regression Through Origin, Statistics & Probability Letter, 57(4):  343 - 351.
  17. Zhide Fang (2000). Robust extrapolation designs for biased polynomial models., Journal of Statistical Planning and Inference, 87:  135 - 147.
  18. Zhide Fang , D. Wiens (2000). Integer-valued, minimax robust designs for estimation and extrapolation in heteroscedastic, approximately linear models, Journal of American Statistical Association,95(451):  807 - 818.
  19. Zhide Fang , D. Wiens (1999). Robust extrapolation designs and weights for biased regression models with heteroscedastic errors. Canadian Journal of Statistics, 27(4):  751 - 770.
Additional Info



Students supervised:


  • Harun Mazumder (08/2019 - present)
  • Xiaodan Zhu (08/2019 - present)
  • Qiufan Fu (08/2018 - present)
  • Xinnan Wang (08/2015 - 12/2019). Dr. Wang is currently a Biostatistician at Medpace, Inc. Dissertation: Overlapping group Lasso screening tests and applications in genomic data analysis.
  • Yi Zhai (08/2014 - 05/2017). Dr. Zhai is now an Assistant Professor in School of Information, Qilu University of Technology, China. Dissertation: Optimal designs for some dose-response models.
  • Ruofei Du (08/2009 - 12/2013. Dr. Du is now an Assistant Professor in Department of Biostatistics, University of Arkansa College of Medicine. Dissertation: Functional profiling of next-generation sequencing metagenomes by statistical methods.
  • Shengping Yang (08/2010 - 05/2013. Dr. Yang is now an Assistant Professor at Pennington Biomedical Research Ceneter, Baton Rouge, LA. Dissertation: Normalization and genotyping methodologies for single nucleotide polymorphism array and next-generation sequencing data.


  • Jacob M. Maronge (08/2014 - 05/2016). Admitted to PhD Program in Biostatistics at University of Wisconsin - Madison in Fall 2016.
  • Yuan Zhou (08/2008 - 05/2010). Thesis: Analysis of Affymetrix Exon Array.  Biostatistician at Covance after graduation.
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