Analysis on Time-lagged Gene Clusters in Time Series Gene Expression Data. - Tao Zeng 003; Juan Liu 007 (CIS, 2007)

Biological Pathway Conducting Microarray-Based Cancer Classification. - Tao Zeng 003; Fei Luo 004; Juan Liu 007 (BMEI, 2009)

Discovering negative correlated gene sets from integrative gene expression data for cancer prognosis. - Tao Zeng 003; Xuan Guo; Juan Liu 007 (BIBM, 2010)

Mixture classification model based on clinical markers for breast cancer prognosis. - Tao Zeng 003; Juan Liu 007 (Artif. Intell. Medicine, 2010)

Prediction of Heme Binding Sites in Heme Proteins Using an Integrative Sequence Profile Coupling Evolutionary Information with Physicochemical Properties. - Yi Xiong 002; Wen Zhang 008; Tao Zeng 003; Juan Liu 007 (BIBM, 2011)

Module network rewiring in response to therapy. - Tao Zeng 003; Ruozhao Wang; Luonan Chen (ISB, 2012)

Tracing dynamic biological processes during phase transition. - Tao Zeng 003; Luonan Chen (BMC Syst. Biol., 2012)

Correction: Tracing dynamic biological processes during phase transition. - Tao Zeng 003; Luonan Chen (BMC Syst. Biol., 2012)

MMSE: A generalized coherence measure for identifying linear patterns. - Shuhua Chen; Juan Liu 007; Tao Zeng 003 (BIBM, 2014)

Detecting Phosphorylation Determined Active Protein Interaction Network during Cancer Development by Robust Network Component Analysis. - Tao Zeng 003; Ziming Wang; Luonan Chen (DTMBIO@CIKM, 2014)

Detecting tissue-specific early warning signals for complex diseases based on dynamical network biomarkers: study of type 2 diabetes by cross-tissue analysis. - Meiyi Li; Tao Zeng 003; Rui Liu 009; Luonan Chen (Briefings Bioinform., 2014)

Negative correlation based gene markers identification in integrative gene expression data. - Tao Zeng 003; Xuan Guo; Juan Liu 007 (Int. J. Data Min. Bioinform., 2014)

Identification of phenotypic networks based on whole transcriptome by comparative network decomposition. - Chuanchao Zhang; Juan Liu 007; Qianqian Shi; Tao Zeng 003; Luonan Chen (BIBM, 2015)

Inferring Sequential Order of Somatic Mutations during Tumorgenesis based on Markov Chain Model. - Hao Kang; Kwang-Hyun Cho; Xiaohua Douglas Zhang; Tao Zeng 003; Luonan Chen (IEEE ACM Trans. Comput. Biol. Bioinform., 2015)

Integration of multiple heterogeneous omics data. - Chuanchao Zhang; Juan Liu 007; Qianqian Shi; Xiangtian Yu; Tao Zeng 003; Luonan Chen (BIBM, 2016)

Big-data-based edge biomarkers: study on dynamical drug sensitivity and resistance in individuals. - Tao Zeng 003; Wanwei Zhang; Xiangtian Yu; Xiaoping Liu 002; Meiyi Li; Luonan Chen (Briefings Bioinform., 2016)

Mining K-mers of Various Lengths in Biological Sequences. - Jingsong Zhang; Jianmei Guo; Xiaoqing Yu; Xiangtian Yu; Weifeng Guo; Tao Zeng 003; Luonan Chen (ISBRA, 2017)

Pattern fusion analysis by adaptive alignment of multiple heterogeneous omics data. - Qianqian Shi; Chuanchao Zhang; Minrui Peng; Xiangtian Yu; Tao Zeng 003; Juan Liu 007; Luonan Chen (Bioinform., 2017)

Comparative network stratification analysis for identifying functional interpretable network biomarkers. - Chuanchao Zhang; Juan Liu 007; Qianqian Shi; Tao Zeng 003; Luonan Chen (BMC Bioinform., 2017)

Differential function analysis: identifying structure and activation variations in dysregulated pathways. - Chuanchao Zhang; Juan Liu 007; Qianqian Shi; Tao Zeng 003; Luonan Chen (Sci. China Inf. Sci., 2017)

Characterizing and Discriminating Individual Steady State of Disease-Associated Pathway. - Shaoyan Sun; Xiangtian Yu; Fengnan Sun; Ying Tang; Juan Zhao; Tao Zeng 003 (ICIC (1), 2018)

Discovering personalized driver mutation profiles of single samples in cancer by network control strategy. - Weifeng Guo; Shao-Wu Zhang 001; Li-Li Liu; Fei Liu; Qianqian Shi; Lei Zhang; Ying Tang; Tao Zeng 003; Luonan Chen (Bioinform., 2018)

Identifying Essential Signature Genes and Expression Rules Associated With Distinctive Development Stages of Early Embryonic Cells. - Lei Chen 007; Xiaoyong Pan; Tao Zeng 003; Yu-Hang Zhang; Tao Huang 004; Yu-Dong Cai 001 (IEEE Access, 2019)

Dynamically characterizing individual clinical change by the steady state of disease-associated pathway. - Shaoyan Sun; Xiangtian Yu; Fengnan Sun; Ying Tang; Juan Zhao; Tao Zeng 003 (BMC Bioinform., 2019)

A novel network control model for identifying personalized driver genes in cancer. - Weifeng Guo; Shao-Wu Zhang 001; Tao Zeng 003; Yan Li 111; Jianxi Gao; Luonan Chen (PLoS Comput. Biol., 2019)

Efficient Mining Closed k-Mers from DNA and Protein Sequences. - Jingsong Zhang; Cheng Bi; Yinglin Wang; Tao Zeng 003; Bo Liao; Luonan Chen (BigComp, 2020)

Disease Cluster Detection and Functional Characterization. - Wei Guo 039; Tao Zeng 003; Tao Huang 004; Yu-Dong Cai 001 (IEEE Access, 2020)

Identifying Essential Methylation Patterns and Genes Associated With Stroke. - Xiangtian Yu; Zijun Gan; Yan Xu; Sibao Wan; Min Li; Shijian Ding; Tao Zeng 003 (IEEE Access, 2020)

Screening Dys-Methylation Genes and Rules for Cancer Diagnosis by Using the Pan-Cancer Study. - Yu-Hang Zhang; Tao Zeng 003; Xiaoyong Pan; Wei Guo 039; Zijun Gan; Yunhua Zhang; Tao Huang 004; Yu-Dong Cai 001 (IEEE Access, 2020)

Network control principles for identifying personalized driver genes in cancer. - Weifeng Guo; Shaowu Zhang 001; Tao Zeng 003; Tatsuya Akutsu; Luonan Chen (Briefings Bioinform., 2020)

Identification of Key Genes for the Ultrahigh Yield of Rice Using Dynamic Cross-tissue Network Analysis. - Jihong Hu; Tao Zeng 003; Qiongmei Xia; Liyu Huang; Yesheng Zhang; Chuanchao Zhang; Yan Zeng; Hui Liu; Shilai Zhang; Guangfu Huang; Wenting Wan; Yi Ding; et al. (Genom. Proteom. Bioinform., 2020)

Efficient Mining Multi-Mers in a Variety of Biological Sequences. - Jingsong Zhang; Jianmei Guo; Ming Zhang; Xiangtian Yu; Xiaoqing Yu; Weifeng Guo; Tao Zeng 003; Luonan Chen (IEEE ACM Trans. Comput. Biol. Bioinform., 2020)

Performance assessment of sample-specific network control methods for bulk and single-cell biological data analysis. - Weifeng Guo; Xiangtian Yu; Qianqian Shi; Jing Liang 005; Shao-Wu Zhang 001; Tao Zeng 003 (PLoS Comput. Biol., 2021)

Vec2image: an explainable artificial intelligence model for the feature representation and classification of high-dimensional biological data by vector-to-image conversion. - Hui Tang; Xiangtian Yu; Rui Liu 009; Tao Zeng 003 (Briefings Bioinform., 2022)

Deep latent space fusion for adaptive representation of heterogeneous multi-omics data. - Chengming Zhang 003; Yabin Chen; Tao Zeng 003; Chuanchao Zhang; Luonan Chen (Briefings Bioinform., 2022)

Editorial: Expert opinions in integrative bioinformatics: 2022. - Tao Zeng 003; Chuanchao Zhang (Frontiers Bioinform., 2023)