[46]
P. Niranda, P. McKenney, and G. Fu*
Enhanced Edge Selection Approaches for ODE Graph Network Construction (RECON).
Annals of Applied Statistics. under review.
pdf
[45]
G. Zhao, Y. Wang, X. Dai, and G. Fu*
An Integrated Deep Learning and Statistical Framework for Whole-Network Gene–Environment Associations with Leaf Vascular Architecture.
Bioinformatics. under review.
pdf
[44]
Y. Wang, X. Dai, H. Fu, and G. Fu*
Longitudinal Random Forests for Sparse and Irregular Response Trajectories.
Statistics in Medicine. under review.
pdf
[43]
Y. Wang†, S. Thakar†, A. Schick, and G. Fu*
Theoretical Properties of Multivariate Random Forest in Feature Selection and its Application to Facial Morphology-Gene Detection.
Journal of Machine Learning Research. under review.
pdf
[42]
G. Zhao†, X. Li†, P. Chavoshnejad, M. J. Razavi, A. Solhtalab, L. Yin, and G. Fu*
Toward High-Fidelity 3D Point-Cloud Learning for Brain Folding Morphology Prediction Using Trans-Unet.
Journal of Machine Learning Research. under review.
pdf
[41]
S. Zhao, Z. Shang, S. Weinberg, P. Claes, J. Shaffer, and G. Fu*
A Consistent Feature Screening Approach for Tensor Responses with Applications to Genome-wide Facial Shape Association.
Journal of the Royal Statistical Society Series C. under major revision.
pdf
[40]
X. Dai and G. Fu*
Functional Mixed-effect Model for Bilevel Repeated Measurements.
Statistics Innovation (STATI). under review.
pdf
[39]
S. Zhao, C. Qi, G. Zhao, Y. Wang, and G. Fu* (2024)
A Model-Free and Distribution-Free Multi-omics Integration Approach for Detecting Novel Lung Adenocarcinoma Genes.
Scientific Reports. 14(1): 17996.
pdf
[38]
S. Zhao and G. Fu* (2022)
Distribution-free and Model-free Multivariate Feature Screening via Multivariate Rank Distance Correlation.
Journal of Multivariate Analysis. 192: 105081.
pdf
[37]
X. Dai, G. Fu*, R. Reese, S. Zhao, and Z. Shang (2022)
An Approach of Bayesian Variable Selection for Ultrahigh Dimensional Multivariate Regression.
Stat. 11(1): e476.
pdf
[36]
R. Reese, G. Fu*, G. Zhao, X. Dai, X. Li, and K. Chiu (2022)
Epistasis Detection via the Joint Cumulant.
Statistics in Biosciences. 14(3): 514-532.
pdf
[35]
G. Fu*, X. Dai, and Y. Liang
Functional Random Forests for Curve Response.
Scientific Reports. 11(1): 24159.
pdf
[34]
X. Dai, G. Fu*, S. Zhao, and Y. Zeng
A review: Statistical Learning Methods Applicable to Genome-Wide Association Studies on Unbalanced Case-Control Disease Data.
Genes. 12(5): 736.
pdf
[33]
X. Dai†, G. Fu†*, and R. Reese†
Detecting PCOS susceptibility loci from genome-wide association studies via iterative trend correlation based feature screening.
BMC Bioinformatics. 21: 1-15.
pdf
[32]
C. Chen, L. Jiang, G. Fu, M. Wang, Y. Wang, B. Shen, Z. Liu, Z. Wang, W. Hou, S.A. Berceli, and R. Wu*.
An omnidirectional visualization model of personalized gene regulatory networks.
NPJ Systems Biology and Applications. 5(1): 1-11.
pdf
[31]
M. Khalilikhah*, G. Fu, K. Heaskip, and P. Carlson.
Analysis of in-service traffic sign visual condition: tree-based model for mobile LiDAR and digital photolog data.
Journal of Transportation Engineering. 144(6).
pdf
[30]
G. Saunders†, G. Fu†*, and J. Stevens.
A bivariate hypothesis testing approach for mapping the trait-influential gene.
Scientific Reports. 7(1):12798.
pdf
[29]
G. Fu*, G. Wang, and X. Dai.
An adaptive threshold determination method of feature screening for genomic selection.
BMC Bioinformatics. 18(1): 212.
pdf
[28]
G. Fu*
A Paper Review: A mathematical view for ordinary differential equation models: 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: 138-139.
pdf
[27]
G. Fu*, X. Dai, J. Symanzik, and S. Bushman.
Quantitative gene-gene and gene-environment mapping for leaf shape variation using tree-based models.
New Phytologist. 213(1): 455-469.
pdf
[26]
G. Fu, M. Huang, W. Bo, H. Hao, and R. Wu*
Mapping morphological shape as a high-dimensional functional curve.
Briefings in Bioinformatics. 19(3): 461–471
pdf
[25]
G. Fu, N. Wan, J. Baker, J. Montgomery, J. Evans, and R. Gillam*.
A proof of concept study of function-based statistical analysis of fNIRS data: syntax comprehension in children with specific language impairment compared to typically-developing controls.
Frontiers in Behavioral Neuroscience. 10: 108.
pdf
[24]
M. Carlsen†, G. Fu†*, S. Bushman, and C. Corcoran.
Exploiting linkage disequilibrium for ultrahigh-dimensional genome-wide data with an integrated statistical approach.
Genetics. 202(2): 411-426.
pdf
[23]
G. Wang, G. Fu*, and C. Corcoran.
A forest-based feature screening approach for large-scale genome data with complex structures.
BMC Genetics. 16(1): 148.
pdf
[22]
G. Saunders, G. Fu*, and J. Stevens.
A Graphical Weighted Power Improving Multiplicity Correction Approach for SNP Selections.
Current Genomics. 15(5): 380-389.
pdf
[21]
G. Fu*, G. Saunders, and J. Stevens.
Holm Multiple Correction for Large-scale Gene-shape Association Mapping.
BMC Genetics. 15(Suppl 1): S5.
pdf
[20]
W. Bo†, G. Fu†, Z. Wang†, F. Xu, Y. Shen, J. Xu, Z. Huang, J. Gai, C. Vallejos, and R. Wu*
Systems Mapping: How to Map Genes for Biomass Allocation Toward an Ideotype.
Briefings in Bioinformatics. 15(4): 660-669.
pdf
[19]
W. Bo, Z. Wang, F. Xu, G. Fu, Y. Sui, W. Wu, X. Zhu, D. Yin, Q. Yan, and R. Wu*
Shape Mapping: Genetic Mapping Meets Geometric Morphometrics.
Briefings in Bioinformatics. 15(4): 571-581.
pdf
[18]
G. Fu†, W. Bo†, X. Pang, Z. Wang, L. Chen, Y. Song, Z. Zhang, J. Li,and R. Wu*
Mapping shape quantitative trait loci using a radius-centroid-contour model.
Heredity. 110: 511-519.
pdf
[17]
Z. Wang, J. Luo, G. Fu, Z. Wang, and R. Wu*
Stochastic Modeling of Systems Mapping in Pharmacogenomics.
Advanced Drug Delivery Reviews. 65(7): 912-917.
pdf
[16]
K. Das, J. Li, G. Fu, Z. Wang, R. Li, and R. Wu*
Dynamic Semiparametric Bayesian Model for Genetic Mapping of Complex Trait with Irregular Longitudinal Data.
Statistics in Medicine. 32(3): 509-523.
pdf
[15]
S. Wu, G. Fu, Y. Chen, Z. Wang, R. Wu*
Genetic Mapping of Complex Traits by Minimizing Integrated Square Errors.
BMC Genetics 13:20.
pdf
[14]
G. Fu, Z. Wang, J. Li, and R. Wu*
A Mathematical Framework for Functional Mapping of Complex Phenotypes Using Delay Differential Equations.
Journal of Theoretical Biology 289: 206-216.
pdf
[13]
G. Fu, J. Luo, A. Berg, Z. Wang, J. Li, K. Das, R. Li, and R. Wu*
A Dynamic Model for Functional Mapping of Biological Rhythms.
Journal of Biological Dynamics 5(1): 84-101.
pdf
[12]
K. Das, J. Li, Z. Wang, C. Tong, G. Fu, Y. Li, M. Xu, K. Ahn, D. Mauger, R. Li, and R. Wu*
A Dynamic Model for Genome-Wide Association Studies.
Human Genetics 129(6), 629-639.
pdf
[11]
K. Das, J. Li, G. Fu, Z. Wang, and R. Wu*
Genome-wide association studies for bivariate sparse longitudinal data.
Human Heredity 72(2): 110-120.
pdf
[10]
J. Li, K. Das, G. Fu, C. Tong, Y. Li, C. Tobias, and R. Wu*
EM algorithm for mapping quantitative trait loci in multivalent tetraploids.
International Journal of Plant Genomics. 2010: 216547.
pdf
[9]
J. Li, K. Das, G. Fu, R. Li, and R. Wu*
The Bayesian lasso for genome-wide association studies.
Bioinformatics. 27(4): 516-523.
pdf
[8]
G. Fu, A. Berg, K. Das, J. Li, R. Li, and R. Wu*
A statistical model for mapping morphological shape.
Theoretical Biology and Medical Modeling. 7(1): 28.
pdf
[7]
S. Wu, J. Yap, Y. Li, Q. Li, G. Fu, J. Li, K. Das, A. Berg, Y. Zeng, and R. Wu*
Network Models for Dissecting Plant Development by Functional Mapping.
Current Bioinformatics. 4(3): 183-187.
pdf
[6]
C. Ma, Q. Yu, A. Berg, D. Drost, E. Novaes, G. Fu, J. Yap, A. Tan, M. Kirst, Y. Cui, and R. Wu*
A statistical model for testing the pleiotropic control of phenotypic plasticity for a count trait.
Genetics. 179(1): 627-636.
pdf
[5]
X. Dai, J. Symanzik, A. Sharif, and G. Fu* (2017)
Quantitative genetic and environmental mapping and visual exploration for leaf shape variation
In: Lestrel PE editor. Biological Shape Analysis: Proceedings of the 4th International Symposium. Singapore: World Scientific Publishing. 95-112.
pdf
[4]
G. Fu, J. Liu, J. Luo, Z. Wang, Y. Wang, N. Wang, and R. Wu* (2013).
Systems mapping: A computational tool for personalized medicine.
In: Vizirianakis IS editor. Handbook of Personalized Medicine: Advances in Nanotechnology, Drug Delivery and Therapy, Singapore: Pan Stanford Publishing. 321-339.
pdf
[3]
K. Das, Z. Huang, J. Liu, G. Fu, J. Li, Y. Li, C. Tong, J. Gai, and R. Wu* (2012).
Functional mapping of developmental processes: theory, applications, and prospects.
In: Rifkin SA editor. Quantitative Trait Loci (QTL) Methods and Protocols, Methods in Molecular Biology, New York: Springer Science. 227-243.
pdf
[2]
J. Li, K. Das, J. Liu, G. Fu, Y. Li, C. Tobias, R. Wu* (2012)
Statistical models for genetic mapping in polyploids: challenges and opportunities.
In: Rifkin SA editor. Quantitative Trait Loci (QTL) Methods and Protocols, Methods in Molecular Biology, New York: Springer Science. 245-261.
pdf
[1]
R. Wu*, G. Fu, and H. Li (2010).
Statistical genetics.
In: how SC editor. Encyclopedia of Biopharmaceutical Statistics, 3rd edition, Wiley, London. 1271-1277.
pdf