·
Conley C., Umut
Ozbek, Wang P., and J. Peng. Characterizing functional consequences of DNA copy number
alterations in breast and ovarian tumors by spaceMap (2017). Submitted.
[bioRxiv: 10.1101/248229]
·
Li
H., Aue A., Paul D., J. Peng, and
Wang, P. An adaptable generalization of Hotelling's
$T^2$ test in high dimension (2017). Submitted. [arXiv:1609.08725]
·
Wang
R. and J. Peng. Learning directed
acyclic graphs via bootstrap aggregating (2014). [arXiv:1406.2098]
·
Yan H., Carmichael O., Paul D., and J. Peng. Estimating fiber orientation
distribution from diffusion MRI with spherical needlets
(2018). To appear on Medical Imaging
Analysis. [arXiv:1612.07439]
·
Zhou S., Paul D., and J. Peng. Modeling subject-specific nonautonomous dynamics (2018). Statistica
Sinica 28 (2018), 423-447. [pdf]
·
Choi Y., Coram M., J. Peng, and Tang H. A Poisson Log-Normal model for constructing
gene covariation network using RNA-seq data (2017).
Journal of Computational Biology, 24(7):721-731.
[pdf]
·
An C., Ichihashi Y., J. Peng, Sinha N.R., Hagiwara N. (2016). Transcriptome dynamics and potential roles of Sox6 in the
postnatal heart. PloS
One 11(11): e0166574. [html]
·
Paul D., J. Peng, and P. Burman. Nonparametric
estimation of dynamics of monotone trajectories (2016). The Annals of Statistics, Vol. 44, No. 6,
2401-2432. [pdf]
·
Wong, R.K.W., T.C.M. Lee, D. Paul, and J. Peng. Rejoinder: Fiber direction
estimation, smoothing and tracking in diffusion MRI (2016). The Annals of
Applied Statistics, 10(3): 1166-1169. [pdf]
·
Wong, R.K.W., T.C.M. Lee, D. Paul, and J. Peng. Fiber direction estimation,
smoothing and tracking in diffusion MRI (with Discussion) (2016). The Annals of Applied Statistics,
10(3): 1137-1156. [pdf]
·
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, J Peng, Maloof, JN, Sinha,
NR. Resolving distinct genetic regulators of tomato leaf shape within a heteroblastic and ontogenetic context (2014). The Plant
cell, 26(9): 3616-29. [pdf]
·
Ichihashi, Y., J.A. Aguilar-Mart\'{i}nez, M. Farhi,
D.H. Chitwood, R. Kumar, L.V. Millon,
J. Peng, J.N. Maloof,
and N.R. Sinha. Evolutionary developmental transcriptomics reveals a gene network module regulating
inter-specific diversity in plant leaf shape. (2014). Proceedings of the
National Academy of Sciences, 111(25): E2616-21. [pdf]
·
Peng, J., D. Paul, and H.G. Mueller. Time-warped growth processes, with
applications to the modeling of boom-bust cycles in house prices (2014). Annals
of Applied Statistics. Volume 8, Number 3, 1561-1582. [pdf] [supplementary]
·
Chitwood, D., R. Kumar, L.R. Headland, A. Ranjan, M.F.
Covington, Y. Ichihashi, D. Fulop,
J. M. Jim\'{e}nez-G\'{o}mez, J. Peng, J.N. Maloof,
and N.R. Sinha. A quantitative genetic basis for leaf
morphology in a set of precisely defined tomato introgression lines (2013).
Plant Cell, 25(7): 2465-2481. [pdf+html]
·
Koenig, D., J.M. Jim\'{e}nez-G\'{o}mez,
S. Kimura, D. Fulop, D.H. Chitwood,
L.R. Headland, R. Kumar, M. F. Covington,U.K. Devisetty, A.V. Tat, T. Tohge, A.
Bolger, K. Schneeberger, S. Ossowski,
C. Lanz, G. Xiong, M.
Taylor-Teeples, S. M. Brady, M. Pauly,
D. Weigel, B. Usadel, A. R.
Fernie, J. Peng, N.R. Sinha,
and J.N. Maloof. Comparative transcriptomics
reveals patterns of selection in domesticated and wild tomato (2013).
Proceedings of the National Academy of Sciences, 110(28): 2655-2662. [pdf+html]
·
Li, S., L. Hsu, J. Peng, and P.
Wang. Bootstrap inference for network construction with an application to a
breast cancer microarray study (2013). The Annals of Applied Statistics, 7(1):
391-417. [pdf]
·
Carmichael, O., J. Chen, D. Paul, and J. Peng. Diffusion tensor smoothing through weighted Karcher means (2013). Electronic Journal of Statistics,
7(0): 1913-1956.
[pdf]
·
Kumar, R., Y. Ichihashi, S. Kimura, D.H.
Chitwood, L.R. Headland, J. Peng, J.N. Maloof, and N.R. Sinha. A high-throughput method for Illumina
RNA-Seq library preparation (2012). Frontiers in
Plant Science, 3(202): 1-10. [html]
·
Nguyen, T., J. Peng, and J.
Jiang (2012). Journal
of Statistical Computation and Simulation, 84(3): 644-662. [pdf]
·
Viswanath, V., E. Fletcher, B. Singh, N. Smith, D. Paul, J.
Peng, J. Chen, and O. Carmichael. Impact of DTI smoothing on the study of
brain aging (2012). 34th Annual International Conference of the IEEE
Engineering in Medicine and Biology Society, 34: 94-97. [pdf]
·
Chitwood, D.H., L.R. Headland, R. Kumar, J. Peng,
J.N. Maloof, and N.R. Sinha.
The developmental trajectory of leaflet morphology in wild tomato species
(2012). Plant Physiology, 158(3): 1230-1240. [pdf+html]
·
Chitwood, D.H., L.R. Headland, D.L. Filiault,
R. Kumar, J.M. Jim\'{e}nez-G\'{o}mez, A.V. Schrager, D.S. Park, J.
Peng, N.R. Sinha and J.N. Maloof.
Native environment modulates leaf size and response to simulated foliar shade
across wild tomato species (2012). PLoS ONE, 7(1):
e29570. [pdf]
·
Paul, D. and J. Peng. Principal
components analysis for sparsely observed correlated functional data using a
kernel smoothing approach (2011). Electronic
Journal of Statistics, 5: 1960-2003. [pdf]
·
Wang, Peng and Wang (2011). SNP set analysis for detecting
disease association using exon sequence data, BMC
Proceedings, 5(Suppl 9). Full Text
·
Paul, Peng and Burman (2011).
Semi-parametric modeling of autonomous nonlinear dynamical systems with
applications, Annals of Applied
Statistics, 5(3): 2078-2108. [pdf], [supplementary]
·
Jin, Peng and Wang (2010). A generalized Fourier approach to estimating the null
parameters and proportion of non-null effects in large-scale multiple testing, Journal
of Statistical Research, 44 (1): 103 -
127 [pdf]
·
Hsu, Peng and Wang
(2010). Learning network from high dimensional array data, Fu, W.J., (ed), Fu, W.J., (ed), Book:
Frontiers in Computational ans Systems Biology, Vol.
15(Ch 7), Springer, pp. 133-156. [link]
·
Peng, Zhu, Bergamaschi, Han, Noh, Pollack and
Wang (2010). Regularized Multivariate Regression for Identifying Master
Predictors with Application to Integrative Genomics Study of Breast Cancer, Annals of Applied Statistics, 4 (1): 53-77 [pdf]
·
Peng, Wang, Zhou and Zhu (2009). Partial Correlation Estimation by
Joint Sparse Regression Models, Journal of the American Statistical
Association , Vol. 104, No. 486, 735-746 [pdf],
[supplementary]
·
Peng and Paul (2009). A geometric
approach to maximum likelihood estimation of the functional principal
components from sparse longitudinal data, Journal of Computational
and Graphical Statistics, 18(4): 995 - 1015 [pdf]
·
Paul and Peng (2009). Consistency of restricted maximum
likelihood estimators of principal components, Annals of Statistics, Vol. 37, NO. 3,
1229-1271 [pdf]
·
Peng and Mueller (2008). Distance-based clustering of sparsely
observed stochastic processes, with applications to on-line auctions, Annals of Applied Statistics, Vol.
2, No. 3, 1056-1077 [pdf]
·
Peng, Wang and Tang (2007). Controlling for False Positive Findings of
Trans-Hubs in e-QTL Mapping, BMC
Proceedings, 1(Suppl 1): S157 [link]
·
Tang, Peng, Wang, Coram and Hsu (2007). Combining Multiple
Family-based Association Studies, BMC Proceedings, 1(Suppl 1): S162 [link]
·
Peng and Siegmund (2006). Mapping
Quantitative Traits under Ascertainment, Annals of Human
Genetics, Vol 70, Issue 6,
867-881 [pdf]
·
Peng, Tang and Siegmund
(2005). Genome Scans with Gene-Covariate Interaction, Genetic Epidemiology, 29 (3): 173-184 [pdf]
·
Tang,
Peng, Wang and and Risch
(2005). Estimation of Individual Admixture: Analytical and Study Design
Considerations, Genetic
Epidemiology, 28 (4): 289-301 [pdf]
·
Peng and Siegmund (2005). The Admixture
Model in Linkage Analysis, Journal of Statistical Planning and Inference,
Volume 130, Issues 1-2, 317-324 [pdf]
·
Peng and Siegmund (2004). Mapping
Quantitative Traits with Random and with Ascertained Sibships,
Proceedings of the National Academy of Sciences, 101 (21), 7845-7850 [pdf] [link]