Selected peer-referred journal articles (*corresponding author; Trainee)
1.
Gao, B.#, X. Liu#, H.Z. Li and Y.H. Cui*. (2019) Integrative
analysis of genetical genomics data incorporating network structures. Biometrics Methodology https://doi.org/10.1111/biom.13072
[code] (# The first two authors
contributed equally to this work)
- Liu, X., P-S.
Zhong and Y.H. Cui*. (2019) Joint
test of parametric and nonparametric effects in partial linear models for
gene-environment interaction. Statistica Sinica (in press)
- Wu, C., P-S.
Zhong and Y.H. Cui*. (2018) Additive
varying-coefficient model for nonlinear gene-environment interactions.
Statistical
Applications in Genetics and Molecular Biology 17: 2.
4. Wang, H., P-S. Zhong*
and Y.H. Cui. (2018) Empirical
likelihood ratio tests for coefficients in high dimensional heteroscedastic
linear models. Statistica Sinica
28:
2409-2433.
- Wang, H.L., P-S.
Zhong*, Y.H. Cui and Y. Li.
(2018) Unified
empirical likelihood ratio tests for functional concurrent linear models
and the phase transition from sparse to dense functional data. [Supplemental files] Journal of the Royal
Statistical Society B 80(2): 343-364.
6. Wu, C., Y. Jiang, J. Ren, Y.H. Cui and S. Ma. (2018) Dissecting
gene-environment interactions: a penalized robust approach accounting for
hierarchical structures. Statistics in
Medicine 37(3): 437-456.
- Cui, Y.H.* and H. Yang. (2017) Dissecting
genomic imprinting and genetic conflict from a game theory prospective:
Comment on: “Epigenetic game theory: How to compute the epigenetic control
of maternal-to-zygotic transition” by Qian Wang et al. Physics of Life Reviews 20: 161-163.
8. Li, G.
and Y.H. Cui*. (2016) Assessing
statistical significance in variance components linkage analysis: a theoretical
justification. Journal of Statistical
Planning and Inference 178: 70-83 [PDF]
9. Liu, X.,
Y.H. Cui* and R. Li. (2016) Partial linear varying multi-index coefficient
model for integrative gene-environment interactions. [Supplemental file] Statistica
Sinica 26: 1037-1060
10. Li, G., Y.H.
Cui and H. Zhao. (2015) An empirical Bayes risk
prediction model for multiple traits using sequencing data. Statistical Applications in Genetics and Molecular
Biology 14(6):
551-73.
- Wu, C., X. Shi, Y.H. Cui and S.G.
Ma. (2015) A
penalized robust semi-parametric approach for gene-environment
interactions. Statistics in Medicine
34(30):4016-30.
- Gao, B. and Y.H. Cui*. (2015) Learning
directed acyclic graphical structures with genetical genomics data. Bioinformatics 31:3953-3960.
- Wu, C., Y.H. Cui and S.G. Ma. (2014) Integrative analysis of
gene-environment interactions under a multi-response partially linear
varying coefficient model. Statistics
in Medicine 33: 4988-4998.
- Dai, H.Y., T. Srivastava, and Y.H. Cui.
(2014) A
modified generalized fisher method for combining probabilities from
dependent tests. Frontiers in Genetics
5:23.
- Kim, D-Y., Y.H. Cui and O. Zhao.
(2013) Asymptotic test of mixture model and its applications to
QTL interval mapping. Journal of
Statistical Planning and Inference 143: 1320-1329.
16. Geu-Flores,
F., N.H. Sherden, V. Courdavault,
V. Burlat, W.S. Glenn, C. Wu, E. Nims, Y.H. Cui, and S.E. O’Connor. (2012) An
alternative route to cyclic terpenes by reductive cyclization in iridoid
biosynthesis. Nature 492: 138–142
doi:10.1038/nature11692
- Li, S.Y. and Y.H. Cui*. (2012)
Gene-centric gene-gene interaction: a model-based kernel machine method. Annals of Applied Statistics [ PDF] 6(3): 1134-1161.
- Li, S.Y., B. Williams and Y.H. Cui*. (2011)
A combined p-value approach to infer pathway regulations in eQTL mapping. Statistics
and Its Interface 4(3): 389-402 [PDF] (invited)
- Ma, S.J., L.J. Yang, R. Romero, and Y.H. Cui*.
(2011) Varying
coefficient model for gene-environment interaction: a non-linear look.
Bioinformatics 27(15):
2119-2126.
- Li, G.X. and Y.H. Cui*. (2010) A general
statistical framework for dissecting parent-of-origin effects underlying
triploid endosperm traits in flowering plants. Annals
of Applied Statistics 4(3): 1214-1233. [PDF]|[Link
to the Journal].
- Li, S.Y., Q. Lu, W. Fu, R. Romero and Y.H. Cui*.
(2009) A regularized regression approach for dissecting genetic conflicts
that increase disease risk in pregnancy. Statistical
Applications in Genetics and Molecular Biology Vol. 8 : Iss. 1, Article 45. [PubMed]
- Cui, Y.H.* and W.Z. Yang. (2009) Zero
inflated generalized poisson regression mixture
model for mapping quantitative trait loci underlying count trait with many
zeros. Journal of Theoretical Biology
256: 276-285 [PubMed].
- Cui, Y.H.*, G.L. Kang, K.L. Sun, R. Romero,
M. Qian, and W.J. Fu. (2008) Gene-centric genomewide
association study via entropy. Genetics
179: 637-650 [Link]
| [ PubMed].
(This work was highlighted in Nature
Reviews Genetics)
- Cui, Y.H.*, J.M. Cheverud
and R.L. Wu. (2007) A statistical model for dissecting genomic imprinting
through genetic mapping. Genetica
130: 227-239 [PubMed].
- Cui, Y.H.* (2007) A statistical framework for
genome-wide scanning and testing imprinted quantitative trait loci. Journal of Theoretical Biology 244:
115-126 [PubMed].
- Cui, Y.H.*, D.-Y. Kim, and J. Zhu. (2006) On the
generalized Poisson regression mixture model for mapping quantitative
trait loci with count data. Genetics
174(4): 2159-2172. [PubMed].
- Cui, Y.H., J. Zhu, and R.L. Wu. (2006) Functional mapping
for genetic control of programmed cell death. Physiological
Genomics 25: 458-469 [PubMed].
- Cui, Y.H. and R.L. Wu. (2005) Mapping
genome-genome epistasis: A high-dimensional model. Bioinformatics 21(10): 2447-2455 [PubMed].
- Cui, Y. H., G. Casella and R.L. Wu. (2004) Mapping
quantitative trait loci interactions from the maternal and offspring
genomes. Genetics, 167:
1017-1026 [PubMed].
Research Highlight
Last Modified in 2018