| Microbial networks in SPRING-Semi-parametric rank-based correlation and partial correlation estimation for quantitative microbiome data G Yoon, I Gaynanova, CL Müller Frontiers in genetics 10, 516, 2019 | 145 | 2019 |
| Structural learning and integrative decomposition of multi-view data I Gaynanova, G Li Biometrics 75 (4), 1121-1132, 2019 | 113 | 2019 |
| Interpreting blood GLUcose data with R package iglu S Broll, J Urbanek, D Buchanan, E Chun, J Muschelli, NM Punjabi, ... PloS one 16 (4), e0248560, 2021 | 102 | 2021 |
| Sparse semiparametric canonical correlation analysis for data of mixed types G Yoon, RJ Carroll, I Gaynanova Biometrika 107 (3), 609-625, 2020 | 63 | 2020 |
| Simultaneous Sparse Estimation of Canonical Vectors in the p ≫ N Setting I Gaynanova, JG Booth, MT Wells Journal of the American Statistical Association 111 (514), 696-706, 2016 | 45 | 2016 |
| Oracle inequalities for high-dimensional prediction J Lederer, L Yu, I Gaynanova Bernoulli 25 (2), 1225-1255, 2019 | 42 | 2019 |
| A general framework for association analysis of heterogeneous data G Li, I Gaynanova Annals of Applied Statistics 12 (3), 1700-1726, 2018 | 42 | 2018 |
| Correlation of electrophoretic urine protein banding patterns with severity of renal damage in dogs with proteinuric chronic kidney disease JA Hokamp, SA Leidy, I Gaynanova, RE Cianciolo, MB Nabity Veterinary clinical pathology 47 (3), 425-434, 2018 | 41 | 2018 |
| Gluformer: Transformer-based personalized glucose forecasting with uncertainty quantification R Sergazinov, M Armandpour, I Gaynanova ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023 | 34 | 2023 |
| Modeling continuous glucose monitoring (CGM) data during sleep I Gaynanova, N Punjabi, C Crainiceanu Biostatistics 23 (1), 223-239, 2022 | 34 | 2022 |
| Joint association and classification analysis of multi‐view data Y Zhang, I Gaynanova Biometrics 78 (4), 1614-1625, 2022 | 28 | 2022 |
| Prediction error bounds for linear regression with the TREX J Bien, I Gaynanova, J Lederer, CL Müller Test 28 (2), 451-474, 2019 | 24 | 2019 |
| Non-convex global minimization and false discovery rate control for the TREX J Bien, I Gaynanova, J Lederer, CL Müller Journal of Computational and Graphical Statistics 27 (1), 23-33, 2018 | 24 | 2018 |
| A case study of glucose levels during sleep using multilevel fast function on scalar regression inference R Sergazinov, A Leroux, E Cui, C Crainiceanu, RN Aurora, NM Punjabi, ... Biometrics 79 (4), 3873-3882, 2023 | 23* | 2023 |
| Sparse quadratic classification rules via linear dimension reduction I Gaynanova, T Wang Journal of multivariate analysis 169, 278-299, 2019 | 22 | 2019 |
| Metabolomics of primary cutaneous melanoma and matched adjacent extratumoral microenvironment NJ Taylor, I Gaynanova, SA Eschrich, EA Welsh, TJ Garrett, C Beecher, ... PLoS One 15 (10), e0240849, 2020 | 20 | 2020 |
| latentcor: An R Package for estimating latent correlations from mixed data types M Huang, CL Müller, I Gaynanova Journal of Open Source Software 6 (65), 3634, 2021 | 19 | 2021 |
| Fast computation of latent correlations G Yoon, CL Müller, I Gaynanova Journal of Computational and Graphical Statistics 30 (4), 1249-1256, 2021 | 18 | 2021 |
| Glucose profiles in obstructive sleep apnea and type 2 diabetes mellitus RN Aurora, I Gaynanova, P Patel, NM Punjabi Sleep medicine 95, 105-111, 2022 | 16 | 2022 |
| Methadone destabilizes cardiac repolarization during sleep S Solhjoo, NM Punjabi, AE Ivanescu, C Crainiceanu, I Gaynanova, ... Clinical Pharmacology & Therapeutics 110 (4), 1066-1074, 2021 | 14 | 2021 |
Naresh M. Punjabi, MD. PhDProfessor Medicine with TenureVerified email at miami.edu
