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Sponsored AI Networking Cookbook: Practical recipes for AI-assisted network automation and development AI Networking Cookbook: Practical recipes for AI-assisted network automation and development

Author

Hao-Han Wang

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Open access Aug 2026

Joint modeling of multi-timepoint spatial observations for time-resolved spatial-unit-specific gene regulatory network inference

SpaTemGRN provides a flexible hypothesis-generating framework for investigating how spatially localized gene–gene dependencies are remodeled across biological stages and recovered regulatory edges more robustly than four existing methods and maintained the most stable performance across stages.

Yi-Bin Jiang, Yu-Rui Li, Qiqi Xie et al. · 0 citations
Open access Aug 2026

Spatially varying gene regulation network inference from spatial transcriptomics

Applications to seqFISH mouse embryo data and Visium human cutaneous squamous cell carcinoma and fallopian tube datasets demonstrate that SVGRN captures spatially varying regulatory programs underlying development, tumor progression, and tissue organization, highlighting its robustness and broad applicability.

Yu-Rui Li, Jin Y. Chen, Ting Lu et al. · 0 citations

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