Publications

Referred Articles (Published and Accepted)

Novak, J S; Spathis, R; Dang, U J; Fiorillo, A A; Hindupura, R; Tullya, C B; Mázalaa, D A G; Canessad, E; Brown, K J; Partridge, T A; Hathout, Y; Nagaraju, K. Interrogation of dystrophin and dystroglycan complex protein turnover after exon skipping therapy. Journal of Neuromuscular Diseases. 2021; Accepted.

Ogundele M, Zhang JS, Goswami MV, Barbieri ML, Dang UJ, Novak JS, Hoffman EP, Nagaraju K, CINRG-DNHS Investigators, Hathout Y. Validation of Chemokine Biomarkers in Duchenne Muscular Dystrophy. Life. 2021; 11(8):827.[doi]

Ziemba M, Barkhouse M, Uaesoontrachoon K, Giri M, Hathout Y, Dang UJ, Gordish-Dressman H, Nagaraju K, Hoffman EP. Biomarker-focused multi-drug combination therapy and repurposing trial in mdx mice. PLOS One 16, no. 2 (2021): e0246507. [doi]

Tawalbeh, S., Samsel, A., Gordish-Dressman, H., Hathout, Y., Investigators, C.-D., and Dang, U.J. (2020) Comparison of Serum Pharmacodynamic Biomarkers in Prednisone-Versus Deflazacort-Treated Duchenne Muscular Dystrophy Boys. Journal of Personalized Medicine 10, 164. [doi]

Tawalbeh, S. M., Marin, W., Morgan, G. A., Dang, U.J., Hathout, Y, and Pachman, L. M. (2020) Novel Serum Protein Biomarkers for Juvenile Dermatomyositis: A Pilot Study. BMC Rheumatology 4 (52). [doi]

Smith, E.C., Conklin, L.S., Hoffman, E.P., Clemens, P.R., Mah, J.K., Finkel, R.S., Guglieri, M, Tulinius, M., Nevo, Y., Ryan, M.M., Richard Webster MD, Diana Castro MD, Kuntz, N.L., Kerschner, L., Morgenroth, L.P., Arrieta, A., Shimony, M., Jaros, M., Phil Shale PhD, Gordish-Dressman, H., Hagerty, L., Dang, U.J., Damsker, J. M., Schwartz, B.D., Mengle-Gaw, L.J., McDonald, C.M. and the CINRG VBP15 and DNHS Investigators (2020). Efficacy and safety of vamorolone in Duchenne muscular dystrophy. An 18-month non-randomized open-label extension study. PLOS Medicine 17(9): e1003222. [doi]

Dang, U.J., Ziemba M, Clemens, P.R., Hathout, Y, Conklin, L, and Hoffman, E.P. (2020) Serum biomarkers associated with baseline clinical severity in young steroid-naive Duchenne muscular dystrophy boys. Human Molecular Genetics 29 (15), 2481-2495. [doi]

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 Agents52(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, 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.


Software

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


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.