| Partial correlation estimation by joint sparse regression models J Peng, P Wang, N Zhou, J Zhu Journal of the American Statistical Association 104 (486), 735-746, 2009 | 821 | 2009 |
| Estimation of individual admixture: analytical and study design considerations H Tang, J Peng, P Wang, NJ Risch Genetic Epidemiology: The Official Publication of the International Genetic …, 2005 | 738 | 2005 |
| Comparative transcriptomics reveals patterns of selection in domesticated and wild tomato D Koenig, JM Jiménez-Gómez, S Kimura, D Fulop, DH Chitwood, ... Proceedings of the National Academy of Sciences 110 (28), E2655-E2662, 2013 | 385 | 2013 |
| Regularized multivariate regression for identifying master predictors with application to integrative genomics study of breast cancer J Peng, J Zhu, A Bergamaschi, W Han, DY Noh, JR Pollack, P Wang The annals of applied statistics 4 (1), 53, 2010 | 340 | 2010 |
| A quantitative genetic basis for leaf morphology in a set of precisely defined tomato introgression lines DH Chitwood, R Kumar, LR Headland, A Ranjan, MF Covington, ... The Plant Cell 25 (7), 2465-2481, 2013 | 210 | 2013 |
| A high-throughput method for Illumina RNA-Seq library preparation R Kumar, Y Ichihashi, S Kimura, DH Chitwood, LR Headland, J Peng, ... Frontiers in plant science 3, 28988, 2012 | 185 | 2012 |
| Evolutionary developmental transcriptomics reveals a gene network module regulating interspecific diversity in plant leaf shape Y Ichihashi, JA Aguilar-Martínez, M Farhi, DH Chitwood, R Kumar, ... Proceedings of the National Academy of Sciences 111 (25), E2616-E2621, 2014 | 161 | 2014 |
| Distance-based clustering of sparsely observed stochastic processes, with applications to online auctions J Peng, HG Müller | 145 | 2008 |
| A geometric approach to maximum likelihood estimation of the functional principal components from sparse longitudinal data J Peng, D Paul Journal of Computational and Graphical Statistics 18 (4), 995-1015, 2009 | 135 | 2009 |
| Learning directed acyclic graphs via bootstrap aggregating R Wang, J Peng arXiv preprint arXiv:1406.2098, 2014 | 111 | 2014 |
| The developmental trajectory of leaflet morphology in wild tomato species DH Chitwood, LR Headland, R Kumar, J Peng, JN Maloof, NR Sinha Plant physiology 158 (3), 1230-1240, 2012 | 84 | 2012 |
| Resolving distinct genetic regulators of tomato leaf shape within a heteroblastic and ontogenetic context DH Chitwood, A Ranjan, R Kumar, Y Ichihashi, K Zumstein, LR Headland, ... The Plant Cell 26 (9), 3616-3629, 2014 | 70 | 2014 |
| Native environment modulates leaf size and response to simulated foliar shade across wild tomato species DH Chitwood, LR Headland, DL Filiault, R Kumar, JM Jiménez-Gómez, ... PLoS One 7 (1), e29570, 2012 | 68 | 2012 |
| Consistency of restricted maximum likelihood estimators of principal components D Paul, J Peng | 54 | 2009 |
| Bootstrap inference for network construction with an application to a breast cancer microarray study S Li, L Hsu, J Peng, P Wang The annals of applied statistics 7 (1), 391, 2013 | 53 | 2013 |
| Estimating time-varying graphical models J Yang, J Peng Journal of Computational and Graphical Statistics 29 (1), 191-202, 2020 | 35 | 2020 |
| AN ADAPTABLE GENERALIZATION OF HOTELLING’ST ² TEST IN HIGH DIMENSION H Li, A Aue, D Paul, J Peng, P Wang The Annals of Statistics 48 (3), 1815-1847, 2020 | 34* | 2020 |
| A new method for constructing tumor specific gene co-expression networks based on samples with tumor purity heterogeneity F Petralia, L Wang, J Peng, A Yan, J Zhu, P Wang Bioinformatics 34 (13), i528-i536, 2018 | 29 | 2018 |
| Principal components analysis for sparsely observed correlated functional data using a kernel smoothing approach D Paul, J Peng | 27 | 2011 |
| Diffusion tensor smoothing through weighted Karcher means O Carmichael, J Chen, D Paul, J Peng Electronic journal of statistics 7, 1913, 2013 | 21 | 2013 |
Julin N MaloofProfessor of Plant Biology, UC DavisEmail verificata su ucdavis.edu
