近期论文
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Li, Y., Ren, X., Yu, H., Sun, T.*, Ma, S. (2023). PIN: A penalized integrative deep neural network for variable selection among multiple omics datasets. The 21st Asia Pacific Bioinformatics Conference. Accepted.
• Sun, T., Li, Y., Xiao, Z., Ding, Y., Wang, X. (2023). Semiparametric copula method for semi-competing risks data subject to interval censoring and left truncation: Application to disability in elderly. Statistical Methods in Medical Research. Accepted.
• Sun, T., Cheng, Y., Ding, Y. (2022). An Information Ratio-based Goodness-of-Fit Test for Copula Models on Censored Data. Biometrics. Accepted.
• Sun, T., Ding, Y. (2022). Neural network on interval-censored data with application to the prediction of Alzheimer’s disease. Biometrics. Accepted.
• Zhang, J., Siegle, G., Sun, T., D`Andrea, W., Krafty, R. (2021) Interpretable Principal Component Analysis for Multilevel Multivariate Functional Data. Biostatistics. Accepted.
• Sun, T., Ding. Y. (2021) Copula-based semiparametric regression model for bivariate data under general interval censoring. Biostatistics. 22(2), 315-330. DOI: 10.1093/biostatistics/kxz032. (codes available on GitHub)
• Sun, T., Wei, Y., Chen, W., Ding, Y. (2020) Genome-wide association study-based deep learning for survival prediction. Statistics in Medicine. Statistics in Medicine. 39(30), 4605-4620. (codes available on GitHub)
• Sun, T., Ding, Y. (2020) CopulaCenR: copula based regression models for bivariate censored data in R. The R Journal. 12(1), 266-282. (R package available on CRAN)
• Sun, T., Liu Y., Cook, R., Chen, W., Ding, Y. (2019) Copula-based score test for bivariate time-to-event data, with application to a genetic study of AMD progression. Lifetime Data Analysis. 25(3), 546-568.
• Wei, Y., Liu, Y., Sun, T., Chen, W., Ding, Y. (2019) Gene-based association analysis for bivariate time-to-event data through functional regression with copula models. Biometrics. 76(2), 619-629.
医学统计论文
• Grubisha, MJ, Sun, T, Erickson, SL, Helmer, CD, Ding, Y, Homanics, GE, Penzes, P, Wills, ZP, Sweet, RA. (2021). A Missense Mutation in Kalirin Enhances Neuronal RhoA Signaling and Leads to Regression of Cortical Dendritic Arbors Across Development. Proceedings of the National Academy of Sciences of the United States of America.
• Dai, H., Lan, P., Zhao, D., Abou-Daya, K., Liu, W., Chen, W., Friday, A., Williams, A., Sun, T., Chen, J., Chen, W., Mortin-Toth, S., Danska, J., Wiebe, C., Nickerson, P., Nicotra, M., Gingras, S., Kubagawa, H., Shlomchik, M., Oberbarnscheidt, M., Li, X., Lakkis, F. (2020) Paired immunoglobulin-like receptors mediate innate memory to non-self MHC molecules. Science. 368(6495), 1122-1127. (responsible for all bioinformatics analyses of high-dimensional single-cell RNA sequencing data)
• Sun, T., Sun, Z., Jiang Y., Ferguson. A., Pilewski, J., Kolls, J., Chen, W., Chen, K. (2019) Transcriptomic responses to Ivacaftor and prediction of Ivacaftor clinical responsiveness. American Journal of Respiratory Cell and Molecular Biology. 61(5), 643-652. (Editorial’s Highlight, clinically meaningful results based on bioinformatics data and machine learning)
• Yang, G.,* Sun, T.,* (co-first), Han, Y., Rosser, F., Forno, E., Chen, W., Celedón, J. (2019) Serum cadmium and lead, wheezing and lung function in a nationwide study of adults in the United States. Journal of Allergy and Clinical Immunology: In Practice. 7(8), 2653-2660. (responsible for processing and analyzing a large scale national health survey)
• Yano, H., Sawant, D., Chikina, M., Zhang, Q., Sun, Z., Sun, T., Chen, W., Workman, C., Vignali, D. (2019) Adaptive plasticity of IL10+ and IL35+ regulatory T cells and their cooperative regulation of anti-tumor immunity. Nature Immunology. 20(6), 724-735. (responsible for single-cell RNA data analyses)
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