Kedem B and Pyne S. Estimation of Tail Probabilities By Repeated Augmented Reality. http://www.healthanalytics.net/Publications/Augmented Reality.pdf
Das S, Ghosh P, Sen B, Pyne S, Mukhopadhyay I. Critical Community Size for COVID-19: A Model-Based Approach for Strategic Lockdown Policy. Statistics and Applications. 2020; 18(1): 181-196. https://www.ssca.org.in/media/10_18_1_2020_SA_Indranil_eMmEZhM.pdf
Pyne S, Ray S, Gurewitsch R, Aruru M. Transition from Social Vulnerability to Resiliency vis-à-vis COVID-19. Statistics and Applications. 2020; 18(1). 197-208. https://www.ssca.org.in/media/11_18_1_2_SA_Pyne_IOjLhKt.pdf
Nielsen F, Marti G, Ray S, Pyne S. Clustering Patterns connecting COVID-19 Dynamics and Human Mobility using Optimal Transport. 2020 (In review).
M. Maleki, G. J. McLachlan, R. Gurewitsch, M. Aruru, S. Pyne. A Mixture of Regressions Model of COVID-19 Death Rates and Population Comorbidities. Statistics and Applications. 2020; 18(1). 295-306. https://ssca.org.in/media/18_18_1_2020_SA_SPyne.pdf
Fox GC, von Laszewski G, Wang F, Pyne S. AICov: An Integrative Deep Learning Framework for COVID-19 Forecasting with Population Covariates. 2020. http://healthanalytics.net/Publications/AICoV.pdf
Nielsen F, Marti G, Ray S, and Pyne S. Clustering Patterns connecting COVID-19 Dynamics and Human Mobility using Optimal Transport. Journal of Latex Class Files. 2020; 14(8). http://healthanalytics.net/Publications/OT.pdf
Mentzer S.J., et al. Single-cell transcriptional profiling of cells derived from regenerating alveolar ducts. Frontiers in Medicine. 2020. (Accepted for publication).
Ysasi AB, Bennett RD, Wagner W, Valenzuela CD, Servais AB, Tsuda A, Pyne S, et al. Single-cell transcriptional profiling of cells derived from regenerating alveolar ducts. Frontiers in Medicine. 2020; 7:112. doi: https://doi.org/10.3389/fmed.2020.00112
Qi Y, Find Y, Sinclair D, Guo S, Alberich-Jorda M, Lu J, Tenen D, Kharas M, Pyne S. High-Speed Automatic Characterization of Rare Events in Flow Cytometric Data. PLoS ONE. 2020; 15(2): e0228651. doi: https://doi.org/10.1371/journal.pone.0228651.X.
Zhang X, Pyne S, Kedem B. Model selection in Radon Data Fusion. Statistics in Transition New Series. 2020. http://healthanalytics.net/Publications/Radon2020.pdf
Pyne S, Ali H, Aruru M, Rao HL. Quantification of retinal nerve fiber layer changes in OCT images reveals differential progression of Glaucomas. BLDE J Health Sci. 2019; 4(2): 85-89. doi: 10.4103/bjhs. bjhs_74_19.
Vatanpour S, Pyne S, Leite AP, Dinu I. Gene set analysis and reduction for a continuous phenotype: Identifying markers of birth weight variation based on embryonic stem cells and immunologic signatures. Comput Biol Med. 2019;113:103889. doi: 10.1016/j.compbiomed.2019.103389
Pyne S, Aruru M. Antifungal resistance: Implications for policy and research. BLDE J Health Sciences. Letter to the editor. 4(1):50-51, 2019.
Khodayari E. M., Pyne S (Co-senior author), I. Dinu. Association between bivariate expression of key oncogenes and metabolic phenotypes of patients with prostate cancer. Comput Biol Medicine.103:55-63, 2018. PMID: 30340213
Mendu VR, Perugu S, Manne M, Bolla R, Aruru M, Pyne S. Nutrition Atlas of ICMR-National Institute of Nutrition: an informatics platform on nutrition in India Statistics and Applications. 2018;17(1): 209-219
Clarke L, Adduri R, Smyth P, Quinn F, Jeffers M, Dunne B, O’Leary J, McKiernan S, Vandenberghe E, Pyne S, Bashyam M, Sheils O, Flavin R. Potentially important miRNAs in Enteropathy-Associated T-cell lymphoma Pathogenesis: a pilot study. Leukemia Research Reports. 2018;0:52-54. PMID:30989051
Kumar R, Raman R, Kotapalli V, Gowrishankar S, Pyne S, Pollack JR, Bashyam MD. Ca2+/nuclear factor of activated T cells signaling is enriched in early-onset rectal tumors devoid of canonical Wnt activation. Journal of Molecular Medicine. 2018;96(2):135-146. doi: 10.1007/s00109-017-1607-4. PMID:29124284
Aruru M, Pyne S. Noncommunicable disease modeling and simulation as a means of understanding childhood obesity and intervention effectiveness. BLDE Univ.J Health Sci. 2018;3(1):3-8
Aruru M, Pyne S. A Big Data Approach to Surveillance of Disease Outbreaks. Visleshana. 2018;2(2):8-10