Growth of self-canceling code in evolutionary systems. - Xue Zhong; Terence Soule (GECCO, 2006)

CLIP-EZ: a computational tool for HITS-CLIP data analysis. - Xue Zhong; Qi Liu 024; Yu Shyr (BMC Bioinform., 2014)

A comparison of microRNA sequencing reproducibility and noise reduction using mirVana and TRIzol isolation methods. - Yan Guo; Amma Bosompem; Xue Zhong; Travis Clark; Yu Shyr; Annette S. Kim (Int. J. Comput. Biol. Drug Des., 2014)

A haplotype-based framework for group-wise transmission/disequilibrium tests for rare variant association analysis. - Rui Chen 021; Qiang Wei; Xiaowei Zhan; Xue Zhong; James S. Sutcliffe; Nancy J. Cox; Edwin H. Cook Jr.; Chun Li; Wei Chen 074; Bingshan Li (Bioinform., 2015)

A Bayesian framework for de novo mutation calling in parents-offspring trios. - Qiang Wei; Xiaowei Zhan; Xue Zhong; Yongzhuang Liu; Yujun Han; Wei Chen 074; Bingshan Li (Bioinform., 2015)

Cancer driver gene discovery through an integrative genomics approach in a non-parametric Bayesian framework. - Hai Yang; Qiang Wei; Xue Zhong; Hushan Yang; Bingshan Li (Bioinform., 2017)

De novo pattern discovery enables robust assessment of functional consequences of non-coding variants. - Hai Yang 002; Rui Chen 021; Quan Wang 004; Qiang Wei; Ying Ji 002; Guangze Zheng 002; Xue Zhong; Nancy J. Cox; Bingshan Li (Bioinform., 2019)

TVAR: assessing tissue-specific functional effects of non-coding variants with deep learning. - Hai Yang 002; Rui Chen 021; Quan Wang 004; Qiang Wei; Ying Ji 002; Xue Zhong; Bingshan Li (Bioinform., 2022)

The high-dimensional space of human diseases built from diagnosis records and mapped to genetic loci. - Gengjie Jia; Yu Li 006; Xue Zhong; Kanix Wang; Milton Pividori; Rabab Alomairy; Aniello Esposito; Hatem Ltaief; Chikashi Terao; Masato Akiyama; Koichi Matsuda; David E. Keyes; et al. (Nat. Comput. Sci., 2023)

Author Correction: The high-dimensional space of human diseases built from diagnosis records and mapped to genetic loci. - Gengjie Jia; Yu Li 006; Xue Zhong; Kanix Wang; Milton Pividori; Rabab Alomairy; Aniello Esposito; Hatem Ltaief; Chikashi Terao; Masato Akiyama; Koichi Matsuda; David E. Keyes; et al. (Nat. Comput. Sci., 2023)

Improving Genetic Perturbation Response Prediction with an Enhanced Biological Knowledge Graph. - Yang Li; Rui Chen 021; Yuting Tan 005; Xue Zhong; Bingshan Li; Zhijun Yin (BIBM, 2024)

A physics-guided automated machine learning approach for obtaining surface radiometric temperatures on sunny days based on UAV-derived images. - Xue Zhong; Lihua Zhao; Peng Ren; Xiang Zhang; Jie Wang (Comput. Environ. Urban Syst., 2024)

Land surface emissivity retrieval from SDGSAT-1: comparison of LSE products with different spatial resolutions. - Xue Zhong; Lihua Zhao; Peng Ren; Jie Wang; Yingtan Li; Xiang Zhang; Chaobin Luo (Int. J. Digit. Earth, 2024)

Analytical solutions and stability of periodic attitude motions of gyrostat spacecrafts in weakly elliptical orbits. - Xue Zhong; Jie Zhao; Yunfeng Gao; Kaiping Yu; Hexi Baoyin (Commun. Nonlinear Sci. Numer. Simul., 2025)