Circular RNAs (circRNAs) and microRNAs (miRNAs) are key regulators in various biological processes, and identifying their interactions is vital for elucidating disease mechanisms. However, due to the high experimental cost and limited coverage of known circRNA-miRNA interactions (CMIs), there is a pressing need for com...
Mengmeng Wei, Lei Wang, Peng-Wei Hu et al.· Proceedings of the 32nd ACM...· 0 citations
Continual spatio-temporal forecasting supports traffic management and environmental monitoring under evolving dynamics and expanding sensor networks. However, conventional graph-based continual learning methods tie forecasting representations to the current sensor layout, so sensor expansion can alter the representatio...
Le-Wei Xie, Hao-Yu Zhang, Jia-Jun Zhou et al.· 0 citations
The tumor microenvironment (TME) is a complex ecosystem in which intercellular communication regulates tumor progression and therapeutic response. Yet inferring cell-cell interactions from non-spatial scRNA-seq remains challenging due to incomplete ligand-receptor databases and inaccurate cell type annotations. Here, w...
Yue-Chao Li, Hai-Ru You, Meng-Chao Wei et al.· IEEE transactions on computa...· 0 citations
Experiments on three cross-patient scRNA-seq data sets demonstrate that PathoGraph achieves stable annotation performance across 32 directed reference-to-query transfer tasks, showing competitive and stable performance compared with representative marker-based, correlation-based, and model-based annotation methods.
Yue C. Li, Mengmeng Wei, Xinfei Wang et al.· Journal of Chemical Informat...· 0 citations
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