1. Pyne S, Ray D, Ray MS. Automated generation of personalized trajectories of aging phenotypes with DyViA-GAN. (Frontiers in Aging).
2. Pyne S, ..., Jammalamadaka SR. Multimodal Fusion of Circular Functional Data on High-resolution Neuroretinal Phenotypes (BioRxiv).
3. Patino-Martinez E, ..., Pyne S, Kaplan M. Multiomics and Spatial transcriptomics assessment of longitudinal progression of lupus renal disease in a mouse model. (The Journal of Immunology).
4. Sara K, ..., Pyne S (co-senior author), Dinu I. Stability and Performance of Linear Combination Tests of Gene Set Enrichment for Multiple Covariance Estimators in Unbalanced Studies. (Statistics in Biosciences).
5. Ray S, ..., Pyne S. Generative Reconstruction of Unobserved Cellular Dynamics using Single-Cell Transcriptomic Trajectories. (BioRxiv)
6. Mabby A, ..., Pyne S. Predicting Clinical Phenotypes by Growth Curve Modeling of Transcriptomic Signatures during Disease Progression. (BioRxiv).
7. Wigerblad G, ..., Pyne S (co-senior author), Molina-Paris C, Kaplan MJ. A mathematical framework for human neutrophil state transitions inferred from single-cell RNA sequence data. (Frontiers in Immunology).
8. Wainwright B, ..., Pyne S (co-senior author), Jammalamadaka SR. Circadian Gene Expression Analysis Using an Enhanced Circular Functional Framework. (Sankhya B).
9. Deo V, ..., Pyne S. Analysis of Spatial and Temporal Patterns in Deaths of Despair in the Appalachian Region of the United States. (Statistics and Applications).
10. Guha S, ..., Pyne S. Disaggregation of green space access, walkability, and behavioral risk factor data for precise estimation of local population characteristics. (International Journal of Environmental Research and Public Health).

Past Publications

2023

1. Ali MH, Ray M, Jammalamadaka SR, Senthil S, Srinivas MB, Pyne S. Focused analysis of RNFL decay in glaucomatous eyes using circular statistics on high-resolution OCT data. (Plos One)
2. Pyne S, Guha S, Das S, Ray M, Chandra H. Food insecurity in the Eastern Indo-Gangetic plain: Taking a closer look. (Plos One).
3. Amini P, Hajihosseini M, Pyne S*, Dinu I* (*co-senior authors). Geographically weighted linear combination test for gene-set analysis of a continuous spatial phenotype as applied to intratumor heterogeneity. (Frontiers in Cell and Developmental Biology).
4. Stacy S, Chandra H, Guha S, Gurewitsch R, Brink L, Robertson L, Wilson D, Yuan J-M, Pyne S. Re-scaling and small area estimation of behavioral risk survey guided by social vulnerability data. (BMC Public Health).
5. Deo V, Pyne S, Ray M, Rao M. Investigating Regional Income-Based Shared Frailty among Women with Breast Cancer. (Statistics and Applications).
6. Cernasev A, Claus K, Stewart S, Rowe S, Ray M. Quo vadis? From disaster management to building community resiliency: Medical Reserve Corps and their unique potential. (International Journal of Disaster Risk Reduction).

2022

1. On Rao’s Weighted Distributions for Modeling the Dynamics of Wildfires and Air Pollution. (Proceedings of Applied Linear Algebra, Probability and Statistics).
2. Food Insecurity in the Eastern Indo-Gangetic Plain: Taking a Closer Look. (Plos One).
3. Re-scaling and Small Area Estimation of Behavioral Risk Survey guided by Social Vulnerability Data. (BMC Public Health).
4. Systematic mining of patterns of polysubstance use in a nationwide population survey. (Computers in Biology and Medicine).
5. Geostatistical Modeling and Heterogeneity Analysis of Tumor Molecular Landscape. (Cancers).
6. Measuring and Mapping Micro Level Earning Inequality for Addressing the Sustainable Development Goals: A Multivariate Small Area Modelling Approach. (Journal of Official Statistics).
7. Multivariate small area modelling of undernutrition prevalence among under-five children in Bangladesh. (The International Journal of Biostatistics).
8. Deep variational graph autoencoders for novel host-directed therapy options against COVID-19. (Artificial Intelligence in Medicine).
9. A deep integrated framework for predicting SARS-CoV2–Human protein-protein interaction. (IEEE Transactions on Emerging Topics in Computational Intelligence).
10. A regularized multi-task learning approach for cell type detection in single RNA sequencing data. (Frontiers in Genetics).
11. A copula based topology preserving graph convolution network for clustering of single-cell RNA seq data (PLoS Computational Biology).
12. LSH-GAN enables in-silico generation of cells for small sample high dimensional scRNA-seq data. (Nature Communication Biology).
13. An entropy guided robust feature selection for clustering of single-cell rna-seq data. (Briefings in Bioinformatics).
14. Comparing Environmental Policies to Reduce Pharmaceutical Pollution and Address Disparities (International Journal of Environmental and Public Health).
15. Evaluating Students’ COVID-19 Knowledge, Attitudes, and Practices (COVKAP) during the COVID-19 pandemic (Pharmacy).
16. Reimagining Asian Women Scholars in Academic Spaces. In Navigating Academia During COVID-19: Perspectives and Strategies from Women of Color.

2021

1. A New Platform for Modeling of Structural Phenotypes in the Eye (Nature Scientific Reports)
2. Computational Advances in Data Fusion Methods (Springer)
3. Estimation of Tail Probabilities by Repeated Augmented Reality (Stat Theory and Pract)
4. AICov: An Integrative Deep Learning Framework for COVID-19 Forecasting with Population Covariates (Data Science)
5. Determination of critical community size from an HIV/AIDS model (PLoS One)
6. Protocol for a cluster randomised trial evaluating a multifaceted intervention starting preconceptionally—Early Interventions to Support Trajectories for Healthy Life in India (EINSTEIN): a Healthy Life Trajectories Initiative (HeLTI) Study (BMJ Open)
7. Multivariate Tail Probabilities: Predicting Regional Pertussis Cases in Washington State (Entropy)
8. Clustering Patterns Connecting COVID-19 Dynamics and Human Mobility Using Optimal Transport (Sankhya B)
9. Use of Linear Combination Test to Identify Gene Signatures of Human Embryonic Development in Single Cell RNA-Seq Experiments (Stat and Appl)
10. Differential Patterns of Social Media Use Associated with Loneliness and Health Outcomes in Selected Socioeconomic Groups (Tech in Behavior Sci)
11. Multivariate Small Area Modelling for Measuring Micro Level Earning Inequality: Evidence from Periodic Labour Force Survey of India.
12. Measuring disaggregate level food insecurity via multivariate small area modelling: evidence from rural districts of Uttar Pradesh, India.
13. Measuring and Mapping Disaggregate Level Disparities in Food Consumption and Nutritional Status via Multivariate Small Area Modelling.
14. Food and nutrition in the Indo-Gangetic Plain region - a disaggregate level analysis.
15. Improved Estimation of Finite Population Mean in Two-phase Sampling with Subsampling of the Nonrespondents.
16. Improved Chain Ratio Type Estimator for Population Total in Double Sampling.
17. Calibration Approach-Based Chain Ratio Type and Chain Product Type Estimators in Two-Phase Sampling Involving Two Auxiliary Variables.
18. RgCop-A regularized copula based method for gene selection in single-cell RNA-seq data
19. Pan-cancer classification by regularized multi-task learning
20. Identification of key immune regulatory genes in HIV-1 progression
21. A copula based topology preserving graph convolution network for clustering of single-cell RNA-seq data
22. sc-REnF: An entropy guided robust feature selection for single-cell RNA-seq data
23. A new extension of state-space SIR model to account for Underreporting – An application to the COVID-19 transmission in California and Florida
24. Forecasting Transmission Dynamics of COVID-19 in India Under Containment Measures- A Time-Dependent State-Space SIR Approach
25. Method Based on State-Space Epidemiological Model for Cost-Effectiveness Analysis of Non-Medical Interventions- A Study on COVID-19 in California and Florida
26. Association Between Economic and Environmental Parameters in Globalised India.
27. Quō vādis? Short-term medical missions in a globalized world and the role of pharmacy (JAPhA.org)
28. Student Pharmacists during the Pandemic: Development of a COVID-19 Knowledge, Attitudes, and Practices (COVKAP) Survey (Pharmacy)
29. Pharmacy Emergency Preparedness and Response (PEPR): a proposed framework for expanding pharmacy professionals’ roles and contributions to emergency preparedness and response during the COVID-19 pandemic and beyond (Res Soc Admin Phar)
30. Emergency preparedness and response (EP&R) by pharmacy professionals in India: Lessons from the COVID-19 pandemic and the way forward (Res Soc Admin Phar)
31. Empowering Public Health Pharmacy Practice-Moving from Collaborative Practice Agreements to Provider Status in the U.S (Pharmacy)