| Year |
Citation |
Score |
| 2020 |
Yang J, Peng J. Estimating Time-Varying Graphical Models. Journal of Computational and Graphical Statistics : a Joint Publication of American Statistical Association, Institute of Mathematical Statistics, Interface Foundation of North America. 29: 191-202. PMID 33828398 DOI: 10.1080/10618600.2019.1647848 |
0.32 |
|
| 2018 |
Yan H, Carmichael O, Paul D, Peng J. Estimating fiber orientation distribution from diffusion MRI with spherical needlets. Medical Image Analysis. 46: 57-72. PMID 29502033 DOI: 10.1016/J.Media.2018.01.003 |
0.325 |
|
| 2018 |
Zhou S, Paul D, Peng J. Modeling subject-specific nonautonomous dynamics. Statistica Sinica. 28: 423-447. PMID 29422761 DOI: 10.5705/Ss.202016.0113 |
0.339 |
|
| 2017 |
Choi Y, Coram M, Peng J, Tang H. A Poisson Log-Normal Model for Constructing Gene Covariation Network Using RNA-seq Data. Journal of Computational Biology : a Journal of Computational Molecular Cell Biology. PMID 28557607 DOI: 10.1089/Cmb.2017.0053 |
0.383 |
|
| 2016 |
Wong RKW, Lee TCM, Paul D, Peng J. FIBER DIRECTION ESTIMATION, SMOOTHING AND TRACKING IN DIFFUSION MRI. The Annals of Applied Statistics. 10: 1137-1156. PMID 28638497 DOI: 10.1214/15-Aoas880 |
0.301 |
|
| 2016 |
Paul D, Peng J, Burman P. Nonparametric estimation of dynamics of monotone trajectories The Annals of Statistics. 44: 2401-2432. DOI: 10.1214/15-Aos1409 |
0.326 |
|
| 2014 |
Chitwood DH, Ranjan A, Kumar R, Ichihashi Y, Zumstein K, Headland LR, Ostria-Gallardo E, Aguilar-Martínez JA, Bush S, Carriedo L, Fulop D, Martinez CC, Peng J, Maloof JN, Sinha NR. Resolving distinct genetic regulators of tomato leaf shape within a heteroblastic and ontogenetic context. The Plant Cell. 26: 3616-29. PMID 25271240 DOI: 10.1105/Tpc.114.130112 |
0.313 |
|
| 2014 |
Nguyen T, Peng J, Jiang J. Fence Methods for Backcross Experiments. Journal of Statistical Computation and Simulation. 84: 644-662. PMID 24443613 DOI: 10.1080/00949655.2012.721885 |
0.368 |
|
| 2013 |
Li S, Hsu L, Peng J, Wang P. BOOTSTRAP INFERENCE FOR NETWORK CONSTRUCTION WITH AN APPLICATION TO A BREAST CANCER MICROARRAY STUDY. The Annals of Applied Statistics. 7: 391-417. PMID 24563684 DOI: 10.1214/12-Aoas589 |
0.309 |
|
| 2013 |
Chitwood DH, Kumar R, Headland LR, Ranjan A, Covington MF, Ichihashi Y, Fulop D, Jiménez-Gómez JM, Peng J, Maloof JN, Sinha NR. A quantitative genetic basis for leaf morphology in a set of precisely defined tomato introgression lines. The Plant Cell. 25: 2465-81. PMID 23872539 DOI: 10.1105/Tpc.113.112391 |
0.305 |
|
| 2013 |
Koenig D, Jiménez-Gómez JM, Kimura S, Fulop D, Chitwood DH, Headland LR, Kumar R, Covington MF, Devisetty UK, Tat AV, Tohge T, Bolger A, Schneeberger K, Ossowski S, Lanz C, ... ... Peng J, et al. Comparative transcriptomics reveals patterns of selection in domesticated and wild tomato. Proceedings of the National Academy of Sciences of the United States of America. 110: E2655-62. PMID 23803858 DOI: 10.1073/Pnas.1309606110 |
0.311 |
|
| 2011 |
Wang R, Peng J, Wang P. SNP set analysis for detecting disease association using exon sequence data. Bmc Proceedings. 5: S91. PMID 22373133 DOI: 10.1186/1753-6561-5-S9-S91 |
0.377 |
|
| 2011 |
Paul D, Peng J. Principal components analysis for sparsely observed correlated functional data using a kernel smoothing approach Electronic Journal of Statistics. 5: 1960-2003. DOI: 10.1214/11-Ejs662 |
0.381 |
|
| 2011 |
Paul D, Peng J, Burman P. Semiparametric modeling of autonomous nonlinear dynamical systems with application to plant growth The Annals of Applied Statistics. 5: 2078-2108. DOI: 10.1214/11-Aoas459 |
0.323 |
|
| 2010 |
Peng J, Zhu J, Bergamaschi A, Han W, Noh DY, Pollack JR, Wang P. Regularized multivariate regression for identifying master predictors with application to integrative genomics study of breast cancer The Annals of Applied Statistics. 4: 53-77. DOI: 10.1214/09-Aoas271 |
0.34 |
|
| 2009 |
Peng J, Wang P, Zhou N, Zhu J. Partial Correlation Estimation by Joint Sparse Regression Models. Journal of the American Statistical Association. 104: 735-746. PMID 19881892 DOI: 10.1198/Jasa.2009.0126 |
0.383 |
|
| 2009 |
Paul D, Peng J. Consistency of restricted maximum likelihood estimators of principal components The Annals of Statistics. 37: 1229-1271. DOI: 10.1214/08-Aos608 |
0.369 |
|
| 2009 |
Peng J, Paul D. A Geometric Approach to Maximum Likelihood Estimation of the Functional Principal Components From Sparse Longitudinal Data Journal of Computational and Graphical Statistics. 18: 995-1015. DOI: 10.1198/Jcgs.2009.08011 |
0.362 |
|
| 2007 |
Tang H, Peng J, Wang P, Coram M, Hsu L. Combining multiple family-based association studies Bmc Proceedings. 1: 1-6. PMID 18466508 DOI: 10.1186/1753-6561-1-S1-S162 |
0.388 |
|
| 2007 |
Peng J, Wang P, Tang H. Controlling for false positive findings of trans-hubs in expression quantitative trait loci mapping. Bmc Proceedings. 1: 1-6. PMID 18466502 DOI: 10.1186/1753-6561-1-S1-S157 |
0.387 |
|
| 2006 |
Peng J, Siegmund D. QTL mapping under ascertainment. Annals of Human Genetics. 70: 867-881. PMID 17044862 DOI: 10.1111/J.1469-1809.2006.00286.X |
0.67 |
|
| 2005 |
Peng J, Tang HK, Siegmund D. Genome scans with gene-covariate interaction. Genetic Epidemiology. 29: 173-84. PMID 16216012 DOI: 10.1002/Gepi.20100 |
0.576 |
|
| 2005 |
Tang H, Peng J, Wang P, Risch NJ. Estimation of individual admixture: analytical and study design considerations. Genetic Epidemiology. 28: 289-301. PMID 15712363 DOI: 10.1002/Gepi.20064 |
0.365 |
|
| 2005 |
Peng J, Siegmund D. The admixture model in linkage analysis Journal of Statistical Planning and Inference. 130: 317-324. DOI: 10.1016/J.Jspi.2003.07.022 |
0.636 |
|
| 2004 |
Peng J, Siegmund D. Mapping quantitative traits with random and with ascertained sibships Proceedings of the National Academy of Sciences of the United States of America. 101: 7845-7850. PMID 15084737 DOI: 10.1073/Pnas.0401713101 |
0.663 |
|
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