论文

李苓玉, Liangjie Sun, Shumin Li, Wai-Ki Ching, Zhi-Ping Liu (2026). Cell dynamics on energy landscape: Comparing attractor detection in Boolean network and diffusion-based models under in silico gene perturbations. In QUANT BIOL.

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李苓玉, Weiqin Zhao, Qingpeng Zhang, Wai-Ki Ching, Zhi-Ping Liu (2026). CNet-Cox for interpretable network biomarker discovery and survival risk scoring in precise breast cancer prognosis. In npj Digit Med.

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李苓玉, Tianjie Wang, Zhuo Liang, Huajian Yu, Stephanie Ma, Lequan Yu, Yuanhua Huang (2026). FineST: Contrastive learning integrates histology and spatial transcriptomics for nuclei-resolved ligand-receptor analysis. In NAT COMMUN.

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李苓玉, Wai-Ki Ching, Zhi-Ping Liu (2026). Prognostic biomarker discovery via a connected network-constrained Cox proportional hazards model. In BRIEF BIOINFORM.

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Tianjie Wang, 李苓玉, Yuanhua Huang (2026). SparseAEH: Scalable autoregressive expression histology discovery in spatial transcriptomics via sparse Gaussian kernels. In BioRxiv.

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Tong Wang, 李苓玉, Zhi-Ping Liu (2025). getDNB: identifying dynamic network biomarkers from time-varying gene regulations utilizing graph embedding techniques. In BRIEF BIOINFORM.

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Fatemeh Keikha, 李苓玉, Wai-Ki Ching, Zhi-Ping Liu (2025). NetWalkRank: Cancer driver gene prioritization in multiplex gene regulatory networks by a random walk approach. In IEEE ACM T COMPUT BI.

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李苓玉, Zhi-Ping Liu (2023). Biomarker discovery from high-throughput data by connected network-constrained support vector machine. In EXPERT SYST APPL.

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李苓玉, Liangjie Sun, Guangyi Chen, Chi-Wing Wong, Wai-Ki Ching, Zhi-Ping Liu (2023). LogBTF: gene regulatory network inference using Boolean threshold network model from single-cell gene expression data . In BIOINFORMATICS.

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李苓玉, Algabri, Yousif A, Zhi-Ping Liu (2023). Identifying diagnostic biomarkers of breast cancer based on gene expression data and ensemble feature selection. In CURR BIOINFORM.

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Algabri, Yousif A, 李苓玉, Zhi-Ping Liu (2022). scGENA: A single-cell gene coexpression network analysis framework for clustering cell types and revealing biological mechanisms. In Bioengineering.

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李苓玉, Wai-Ki Ching, Zhi-Ping Liu (2022). Robust biomarker screening from gene expression data by stable machine learning-recursive feature elimination methods. In COMPUT BIOL CHEM.

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李苓玉, Zhi-Ping Liu (2022). A connected network-regularized logistic regression model for feature selection. In APPL INTELL.

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李苓玉, Zhi-Ping Liu (2021). Detecting prognostic biomarkers of breast cancer by regularized Cox proportional hazards models. In J TRANSL MED.

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李苓玉, Zhi-Ping Liu (2021). Discovery of spontaneous preterm birth biomarkers based on machine learning. In Journal of Nanjing University(Natural Sciences).

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李苓玉, Zhi-Ping Liu (2020). Biomarker discovery for predicting spontaneous preterm birth from gene expression data by regularized logistic regression. In COMPUT STRUCT BIOTEC.

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李苓玉, Ziwen Jiang, Zhe Yin (2020). Compact finite-difference method for 2D time-fractional convection–diffusion equation of groundwater pollution problems. In COMPUT APPL MATH.

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李苓玉, Ziwen Jiang, Zhe Yin (2018). Fourth-order compact finite difference method for solving two-dimensional convection–diffusion equation. In ADV DIFFER EQU-NY.

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李苓玉, Zhe Yin (2017). Numerical simulation of groundwater pollution problems based on convection diffusion equation. In AJCM.

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李苓玉, Jinjun Fan (2016). Uniform convergence and application of function term's series. In Journal of Shandong Normal University (Natural Science).

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