| Graphical models via univariate exponential family distributions E Yang, P Ravikumar, GI Allen, Z Liu The Journal of Machine Learning Research 16 (1), 3813-3847, 2015 | 238 | 2015 |
| A review of multivariate distributions for count data derived from the Poisson distribution DI Inouye, E Yang, GI Allen, P Ravikumar Wiley Interdisciplinary Reviews: Computational Statistics 9 (3), e1398, 2017 | 211 | 2017 |
| Graphical models via generalized linear models E Yang, G Allen, Z Liu, P Ravikumar Advances in neural information processing systems 25, 2012 | 204 | 2012 |
| TCGA2STAT: simple TCGA data access for integrated statistical analysis in R YW Wan, GI Allen, Z Liu Bioinformatics 32 (6), 952-954, 2016 | 171 | 2016 |
| A generalized least-square matrix decomposition GI Allen, L Grosenick, J Taylor Journal of the American Statistical Association 109 (505), 145-159, 2014 | 171 | 2014 |
| Transposable regularized covariance models with an application to missing data imputation GI Allen, R Tibshirani The Annals of Applied Statistics 4 (2), 764, 2010 | 167 | 2010 |
| Sparse higher-order principal components analysis G Allen Artificial intelligence and statistics, 27-36, 2012 | 164 | 2012 |
| Mixed Graphical Models via Exponential Families E Yang, Y Baker, P Ravikumar, G Allen, Z Liu Proceedings of the Seventeenth International Conference on Artificial …, 2014 | 162 | 2014 |
| Convex biclustering EC Chi, GI Allen, RG Baraniuk Biometrics 73 (1), 10-19, 2017 | 152 | 2017 |
| Tensor network factorizations: Relationships between brain structural connectomes and traits Z Zhang, GI Allen, H Zhu, D Dunson Neuroimage 197, 330-343, 2019 | 127* | 2019 |
| A Local Poisson Graphical Model for Inferring Networks From Sequencing Data GI Allen, Z Liu IEEE Transactions on NanoBioscience 12 (3), 189-198, 2013 | 126 | 2013 |
| On Poisson graphical models E Yang, PK Ravikumar, GI Allen, Z Liu Advances in neural information processing systems 26, 2013 | 118 | 2013 |
| Automatic feature selection via weighted kernels and regularization GI Allen Journal of Computational and Graphical Statistics 22 (2), 284-299, 2013 | 105 | 2013 |
| Crowdsourced estimation of cognitive decline and resilience in Alzheimer's disease GI Allen, N Amoroso, C Anghel, V Balagurusamy, CJ Bare, D Beaton, ... Alzheimer's & Dementia 12 (6), 645-653, 2016 | 93 | 2016 |
| A log-linear graphical model for inferring genetic networks from high-throughput sequencing data GI Allen, Z Liu 2012 IEEE international conference on bioinformatics and biomedicine, 1-6, 2012 | 92 | 2012 |
| Interpretable machine learning for discovery: Statistical challenges and opportunities GI Allen, L Gan, L Zheng Annual Review of Statistics and Its Application 11, 2024 | 91 | 2024 |
| Surgical outcomes and complications associated with presurgical tyrosine kinase inhibition for advanced renal cell carcinoma (RCC) LC Harshman, RJ Yu, GI Allen, S Srinivas, HS Gill, BI Chung Urologic Oncology: Seminars and Original Investigations 31 (3), 379-385, 2013 | 91 | 2013 |
| Sparse non-negative generalized PCA with applications to metabolomics GI Allen, M Maletić-Savatić Bioinformatics 27 (21), 3029-3035, 2011 | 82 | 2011 |
| Molecular pathway identification using biological network-regularized logistic models W Zhang, Y Wan, GI Allen, K Pang, ML Anderson, Z Liu BMC genomics 14 (Suppl 8), S7, 2013 | 80 | 2013 |
| Imaging genetics via sparse canonical correlation analysis EC Chi, GI Allen, H Zhou, O Kohannim, K Lange, PM Thompson 2013 IEEE 10th International Symposium on Biomedical Imaging, 740-743, 2013 | 71 | 2013 |
zhandong liuAssociate Professor, Baylor College of MedicineVerified email at bcm.edu
