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Qianmao Wen

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Open access Sep 2026

Dual-contrastive learning for spatial domain identification in spatial transcriptomics with STAMGC.

Spatial transcriptomics (STs) have become a valuable approach for understanding the growth and development of organisms. Despite the recent emergence of numerous ST models, accurately identifying spatial domains remains challenging owing to the trade-off between preserving local details and reducing noise. Here, we int...

Zhuo-Yue Zhang, Qian-Mao Wen, Jun-Lin Xu et al. · 0 citations
Review Jul 2026

From binary labels to dynamic landscapes: The evolving computational prediction of protein-RNA interactions through tasks and deep learning paradigms.

This study reviews the methodological evolution from conventional machine learning to deep learning, graph neural networks and large-scale pre-trained language models, and compares their differences in data preparation, evaluation protocols and generalization behavior, and places particular emphasis on recent advances...

Xinyu Li, Qianmao Wen, Zilong Zhang et al. · 0 citations

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