| Neural granger causality A Tank, I Covert, N Foti, A Shojaie, EB Fox IEEE Transactions on Pattern Analysis and Machine Intelligence 44 (8), 4267-4279, 2021 | 396 | 2021 |
| Granger causality: A review and recent advances A Shojaie, EB Fox Annual Review of Statistics and Its Application 9 (1), 289-319, 2022 | 350 | 2022 |
| Using Twitter for demographic and social science research: tools for data collection and processing TH McCormick, H Lee, N Cesare, A Shojaie, ES Spiro Sociological methods & research 46 (3), 390-421, 2017 | 321 | 2017 |
| Discovering graphical Granger causality using the truncating lasso penalty A Shojaie, G Michailidis Bioinformatics 26 (18), i517-i523, 2010 | 260 | 2010 |
| Penalized likelihood methods for estimation of sparse high-dimensional directed acyclic graphs A Shojaie, G Michailidis Biometrika 97 (3), 519-538, 2010 | 221 | 2010 |
| Metabolomic profiling reveals potential markers and bioprocesses altered in bladder cancer progression N Putluri, A Shojaie, VT Vasu, SK Vareed, S Nalluri, V Putluri, ... Cancer research 71 (24), 7376-7386, 2011 | 210 | 2011 |
| Analysis of gene sets based on the underlying regulatory network A Shojaie, G Michailidis Journal of Computational Biology 16 (3), 407-426, 2009 | 170 | 2009 |
| Selection and estimation for mixed graphical models S Chen, DM Witten, A Shojaie Biometrika 102 (1), 47-64, 2015 | 157 | 2015 |
| Network granger causality with inherent grouping structure S Basu, A Shojaie, G Michailidis The Journal of Machine Learning Research 16 (1), 417-453, 2015 | 142 | 2015 |
| Gene set analysis methods: a systematic comparison R Mathur, D Rotroff, J Ma, A Shojaie, A Motsinger-Reif BioData mining 11, 1-19, 2018 | 115 | 2018 |
| Metabolomic profiling reveals a role for androgen in activating amino acid metabolism and methylation in prostate cancer cells N Putluri, A Shojaie, VT Vasu, S Nalluri, SK Vareed, V Putluri, ... PloS one 6 (7), e21417, 2011 | 100 | 2011 |
| The cluster graphical lasso for improved estimation of Gaussian graphical models KM Tan, D Witten, A Shojaie Computational statistics & data analysis 85, 23-36, 2015 | 97 | 2015 |
| Graph estimation with joint additive models A Voorman, A Shojaie, D Witten Biometrika 101 (1), 85-101, 2014 | 96 | 2014 |
| Joint structural break detection and parameter estimation in high-dimensional nonstationary VAR models A Safikhani, A Shojaie Journal of the American Statistical Association 117 (537), 251-264, 2022 | 94 | 2022 |
| In defense of the indefensible: A very naive approach to high-dimensional inference S Zhao, D Witten, A Shojaie Statistical science: a review journal of the Institute of Mathematical …, 2021 | 94 | 2021 |
| Inhibition of the hexosamine biosynthetic pathway promotes castration-resistant prostate cancer AK Kaushik, A Shojaie, K Panzitt, R Sonavane, H Venghatakrishnan, ... Nature communications 7 (1), 11612, 2016 | 93 | 2016 |
| Inter-individual differences in response to dietary intervention: integrating omics platforms towards personalised dietary recommendations JW Lampe, SL Navarro, MAJ Hullar, A Shojaie Proceedings of the Nutrition Society 72 (2), 207-218, 2013 | 93 | 2013 |
| Network reconstruction from high-dimensional ordinary differential equations S Chen, A Shojaie, DM Witten Journal of the American Statistical Association 112 (520), 1697-1707, 2017 | 89 | 2017 |
| Estimation of high-dimensional graphical models using regularized score matching L Lin, M Drton, A Shojaie Electronic journal of statistics 10 (1), 806, 2016 | 87 | 2016 |
| A comparative study of topology-based pathway enrichment analysis methods J Ma, A Shojaie, G Michailidis BMC bioinformatics 20, 1-14, 2019 | 83 | 2019 |
George MichailidisProfessor of Statistics and Computer Scienceufl.edu의 이메일 확인됨