- Names with * indicates corresponding authors
2024
- Tingting Hou, Xiaoxi Shen, Shan Zhang, Muxuan Liang, Li Chen, Qing Lu, AIGen: an artificial intelligence software for complex genetic data analysis, Briefings in Bioinformatics, Volume 25, Issue 6, November 2024, bbae566, https://doi.org/10.1093/bib/bbae566
2023
Hou, T., Jiang, C., Lu, Q. (2023). “A Kernel-Based Neural Network Test for High-dimensional Sequencing Data Analysis”. arXiv preprint arXiv:2312.02850.
Hou, T.., Jiang, C., Lu, Q. (2023). “An Association Test Based on Kernel-Based Neural Networks for Complex Genetic Association Analysis”. arXiv preprint arXiv:2312.06669.
Nair, J., Welch, J. F., Marciante, A. B., Hou, T., Lu, Q., Fox, E. J., Mitchell, G. S. (2023). “APOE4, age, and sex regulate respiratory plasticity elicited by acute intermittent hypercapnic-hypoxia”. Function, 4(5), zqad026.
2022
Chang, P., Liu, R., Hou, T., Yan, X., \& Shan, G. (2022). “Continuity corrected score confidence interval for the difference in proportions in paired data”. Journal of Applied Statistics, 1-14.
Tang, M., Hou, T., Tong, X., Shen, X., Zhang, X., Wang, T., Lu, Q. (2022). “Fast heritability estimation based on MINQUE and batch training”. Briefings in Bioinformatics, 23(3), bbac115.
2021
LU, Q., Zhang, S., Hou, T.. (2021). “Functional Deep Neural Network for High-dimensional Data Analysis”. United States Patent Application Publication US-2021-0313065-A1.
LU, Q., Shen, X., Hou, T.. (2021). “High Dimensional and Ultrahigh Dimensional Data Analysis with Kernel Neural Networks”. PCT Patent Application PCT/US2021/072811.
Lou, X. Y., Hou, T. T.}, Liu, S. Y., Xu, H. M., Lin, F., Tang, X., … \& Hobbs, C. A. (2021). ‘‘Innovative approach to identify multigenomic and environmental interactions associated with birth defects in family-based hybrid designs”. Genetic Epidemiology, 45(2), 171-189.
2019
- Hou, T. T., Lin, F., Bai, S., Cleves, M. A., Xu, H. M., \& Lou, X. Y. (2019). “Generalized multifactor dimensionality reduction approaches to identification of genetic interactions underlying ordinal traits”. Genetic Epidemiology, 43(1), 24-36.
2016
- Xu, H. M., Xu, L. F., Hou, T. T.}, Luo, L. F., Chen, G. B., Sun, X. W., \& Lou, X. Y. (2016). “GMDR: versatile software for detecting gene-gene and gene-environment interactions underlying complex traits”. Current Genomics, 17(5), 396-402.
