Publications

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Pattern Recognition, Automated
Love, Michael I., Charlotte Soneson, Peter F. Hickey, Lisa K. Johnson, Tessa N Pierce, Lori Shepherd, Martin Morgan, and Rob Patro. "Tximeta: Reference sequence checksums for provenance identification in RNA-seq." PLoS Comput Biol 16, no. 2 (2020): e1007664.
Huang, Chao, Liang Shan, Cecil Charles, Marc Niethammer, and Hongtu Zhu. "Diseased region detection of longitudinal knee MRI data." Inf Process Med Imaging 23 (2013): 632-43.
Shin, Seung Jun, Yichao Wu, Hao Helen Zhang, and Yufeng Liu. "Probability-enhanced sufficient dimension reduction for binary classification." Biometrics 70, no. 3 (2014): 546-55.
Hua, Zhaowei, David B. Dunson, John H. Gilmore, Martin A. Styner, and Hongtu Zhu. "Semiparametric Bayesian local functional models for diffusion tensor tract statistics." Neuroimage 63, no. 1 (2012): 460-74.
Hung, Hung, Yu-Ting Lin, Penweng Chen, Chen-Chien Wang, Su-Yun Huang, and Jung-Ying Tzeng. "Detection of gene-gene interactions using multistage sparse and low-rank regression." Biometrics 72, no. 1 (2016): 85-94.
Zhu, Hongtu, Martin Styner, Yimei Li, Linglong Kong, Yundi Shi, Weili Lin, Christopher Coe, and John H. Gilmore. "Multivariate varying coefficient models for DTI tract statistics." Med Image Comput Comput Assist Interv 13, no. Pt 1 (2010): 690-7.
Yuan, Ying, John H. Gilmore, Xiujuan Geng, Martin A. Styner, Kehui Chen, Jane-ling Wang, and Hongtu Zhu. "A longitudinal functional analysis framework for analysis of white matter tract statistics." Inf Process Med Imaging 23 (2013): 220-31.
Miranda, Michelle F., Hongtu Zhu, and Joseph G. Ibrahim. "Bayesian spatial transformation models with applications in neuroimaging data." Biometrics 69, no. 4 (2013): 1074-83.
Skup, Martha, Hongtu Zhu, and Heping Zhang. "Multiscale adaptive marginal analysis of longitudinal neuroimaging data with time-varying covariates." Biometrics 68, no. 4 (2012): 1083-92.
Pang, Herbert, Stephen L. George, Ken Hui, and Tiejun Tong. "Gene selection using iterative feature elimination random forests for survival outcomes." IEEE/ACM Trans Comput Biol Bioinform 9, no. 5 (2012): 1422-31.