| Differential expression of specific microRNA and their targets in acute myeloid leukemia G Cammarata, L Augugliaro, D Salemi, C Agueli, ML Rosa, L Dagnino, ... American journal of hematology 85 (5), 331-339, 2010 | 207 | 2010 |
| Differential geometric least angle regression: a differential geometric approach to sparse generalized linear models L Augugliaro, AM Mineo, EC Wit Journal of the Royal Statistical Society: SERIES B: Statistical Methodology …, 2013 | 38 | 2013 |
| miR-155 regulative network in FLT3 mutated acute myeloid leukemia D Salemi, G Cammarata, C Agueli, L Augugliaro, C Corrado, MG Bica, ... Leukemia research 39 (8), 883-896, 2015 | 26 | 2015 |
| Model selection for factorial Gaussian graphical models with an application to dynamic regulatory networks V Vinciotti, L Augugliaro, A Abbruzzo, EC Wit Statistical applications in genetics and molecular biology 15 (3), 193-212, 2016 | 21 | 2016 |
| Quantile regression via iterative least squares computations VMR Muggeo, M Sciandra, L Augugliaro Journal of Statistical Computation and Simulation 82 (11), 1557-1569, 2012 | 20 | 2012 |
| ℓ 1-Penalized censored Gaussian graphical model L Augugliaro, A Abbruzzo, V Vinciotti Biostatistics 21 (2), e1-e16, 2020 | 16 | 2020 |
| dglars: an R package to estimate sparse generalized linear models L Augugliaro, AM Mineo, EC Wit Journal of Statistical Software 59 (8), 1-40, 2014 | 16 | 2014 |
| Differential geometric LARS via cyclic coordinate descent method L Augugliaro, A Mineo, E Wit International Conference on Computational Statistics (COMPSTAT 2012), 67-79, 2012 | 9 | 2012 |
| Extended differential geometric LARS for high-dimensional GLMs with general dispersion parameter H Pazira, L Augugliaro, E Wit Statistics and Computing 28 (4), 753-774, 2018 | 8 | 2018 |
| Gene expression profile of chronic myeloid leukemia innately resistant to Imatinib G Cammarata, L Augugliaro, M La Rosa, D Turri, V Rizzo, A Marfia, ... Clinical Leukemia 1 (4), 234-242, 2007 | 7 | 2007 |
| A differential-geometric approach to generalized linear models with grouped predictors L Augugliaro, AM Mineo, EC Wit Biometrika 103 (3), 563-577, 2016 | 6 | 2016 |
| The conditional censored graphical lasso estimator L Augugliaro, G Sottile, V Vinciotti Statistics and Computing 30, 1273-1289, 2020 | 5 | 2020 |
| Cyclic coordinate for penalized Gaussian graphical models with symmetry restrictions A Abbruzzo, L Augugliaro, AM Mineo, EC Wit Proceeding of COMPSTAT 2014—21th International Conference on Computational …, 2014 | 5 | 2014 |
| Sparse relative risk regression models EC Wit, L Augugliaro, H Pazira, J González, F Abegaz Biostatistics 21 (2), e131-e147, 2020 | 3 | 2020 |
| 𝓵1-Penalized Methods in High-Dimensional Gaussian Markov Random Fields L Augugliaro, AM Mineo, EC Wit QSAR/QSPR, 13, 2017 | 3 | 2017 |
| Modelling the background correction in microarray data analysis AM Mineo, C Fede, L Augugliaro, M Ruggieri Proceedings in computational statistics, 17th COMPSTAT Symposium of the IASC …, 2006 | 3 | 2006 |
| Using the dglars Package to Estimate a Sparse Generalized Linear Model L Augugliaro, AM Mineo Advances in Statistical Models for Data Analysis, 1-8, 2015 | 2 | 2015 |
| Using differential geometric LARS algorithm to study the expression profile of a sample of patients with latex-fruit syndrome L Augugliaro, AM Mineo Electronic Journal of Applied Statistical Analysis 4 (2), 227-234, 2011 | 2 | 2011 |
| Plaid model for microarray data: an enhancement of the pruning step L Augugliaro, AM Mineo Classification and multivariate analysis for complex data structures, 447-455, 2011 | 2 | 2011 |
| A differential geometric approach to identify important variables in GLMs when p>> n L Augugliaro, AM Mineo, EC Wit Statistics and the Life Sciences: High-dimensional inference and complex …, 2009 | 2 | 2009 |
