Referred Articles (Published and Accepted)

Hathout Y, Liang C, Ogundele M, Xu G, Tawalbeh SM, Dang UJ, Hoffman EP, Gordish-Dressman H, Conklin LS, van den Anker JN, Clemens PR (2019). Disease-specific and glucocorticoid-responsive serum biomarkers for Duchenne Muscular Dystrophy. Scientific Reports. 2019;9(1). [doi]

Sun, M., Shi, Y., Dang, U. J., & Di Pasqua, A. J. (2019). Phenethyl Isothiocyanate and Cisplatin Co-Encapsulated in a Liposomal Nanoparticle for Treatment of Non-Small Cell Lung Cancer. Molecules, 24(4), 801. [doi]

Furman, B. L., Dang, U.J., Evans, B. J., & Golding, G.B. (2018). Divergent subgenome evolution after allopolyploidization in African clawed frogs (Xenopus). Journal of Evolutionary Biology, 31(12), 1945–1958. [doi]

Mogle B, Seabury R, Dang U.J., Kufel W,  and Steele J. (2018) Implementation of a two-point pharmacokinetic AUC-based vancomycin therapeutic drug monitoring approach in patients with methicillin-resistant Staphylococcus aureus bacteremia. International Journal of Antimicrobial Agents 52(6), 805–810. [doi]

Dang, U. J., Punzo, A., McNicholas, P. D., Ingrassia, S., and Browne, R. P. (2017) `Multivariate response and parsimony for Gaussian cluster-weighted models’.  Journal of Classification. 34 (4), 4–34. [doi]

Dang, U. J., Alison M Devault, Tatum D Mortimer, Caitlin S Pepperell, Hendrik N Poinar, G Brian Golding and Golding, G. B. (2016), `Estimation of gene insertion/deletion rates with missing data’. Genetics 204 (2), 513529. [doi]

Dang, U. J., and Golding, G. B. (2016), `markophylo: Markov chain analysis on phylogenetic trees ‘, Bioinformatics 32 (1), 130–132. [doi]

Dang, U. J., Browne, R. P., and McNicholas, P. D. (2015), `Mixtures of multivariate power exponential distributions’, Biometrics 71, 1081–1089 . [doi].

Dang, U. J. and McNicholas, P. D. (2015), `Families of parsimonious finite mixtures of regression models’, In: Morlini, I., Minerva, T. and Vichi, M., editors, Statistical Models for Data Analysis, Studies in Classification, Data Analysis, and Knowledge Organization. Springer International Publishing Switzerland. [doi]

Dang, U. J. and Bauch, C. T. (2011), `Can interactions between timing of vaccine-altered influenza pandemic waves and seasonality in influenza complications lead to more severe outcomes?’, PLoS ONE 6(8): e23580.

Dang, U. and Bauch, C. T. (2010), `A population biological approach to the collective dynamics of countries undergoing demographic transition’, Journal of Theoretical Biology 265(2), 167–176.


Utkarsh J. Dang, Michael P. B. Gallaugher, Ryan P. Browne, and Paul D. McNicholas (2019). mixSPE: Mixtures of Power Exponential and Skew Power Exponential Distributions for Use in Model-Based Clustering and Classification. Package.

Utkarsh J. Dang and G. Brian Golding (2016). indelmiss: Insertion Deletion Analysis While Accounting for Possible Missing Data. Package.

Utkarsh J. Dang and G. Brian Golding (2015). markophylo: Markov Chain Models for Phylogenetic Trees. Package. Vignette

Referred Articles (Submitted and in preparation)

  • Tawalbeh, S. M., Marin, W., Morgan, G. A., Dang, U.J., Hathout, Y, and Pachman, L. M.. Novel Serum Protein Biomarkers for Juvenile Dermatomyositis: A Pilot Study.
  • Dang, U.J., Gallaugher, M.P.B., Browne, R.P., and McNicholas, P.D. ‘Model-based clustering and classification using mixtures of multivariate skewed power exponential distributions’.
  • Dang, U.J., Clemens, P.R., Hathout, Y, Conklin, L, and Hoffman, E.P. Serum biomarkers associated with baseline clinical severity in young steroid-naive Duchenne muscular dystrophy boys.
  • Dang, U.J. and Golding, G.B. ‘Tracing a history of pseudogenization’.

Non-refereed contributions

Dang, U. J. (2014). Mixtures of Power Exponential Distributions and Topics in Regression-based Mixture Models. University of Guelph.

Dang, U. J. (2011). Interactions Between Immunization Strategies and Pandemic Influenza Associated Severe Outcomes. University of Guelph.

%d bloggers like this: