The evolution of Software-Defined Networking (SDN) has produced a widespread hybrid deployment pattern in which enterprise-operated vendor SDN solutions coexist with internally developed SDN platforms. Because each stack manages its own availability zones (AZs) with distinct interfaces and resource models, migrating cl...
Jian Wu, Xue Sui, Jun Yao et al.· IEEE Transactions on Network...· 1 citation
CDVGL-PDA’s strong predictive performance across balanced, imbalanced, and low-similarity datasets is demonstrated, while case studies highlight its ability to uncover potential PDAs, illustrating its promise for advancing disease mechanism research and therapeutic target discovery.
Xiang Chen, Li-Jun Quan, Ye-Xuan Mao et al.· Bioinformatics· 0 citations
iDCF (Interpretable Deconvolution of Cell Fractions) is a novel framework that enforces biological topology onto deep neural networks, bridging the gap between computational inference and biological intuition.
Hongming Guo, Ting-Fang Wu, Wen-Zheng Wang et al.· PLoS Computational Biology· 0 citations
Predicting drug–target interactions is critical for drug discovery, yet many deep learning methods overlook atom–residue–level relationships, so PHGDTI is proposed, a multimodal framework that integrates sequence and structural cues for binding prediction.
Hua Qian, Deng Pan, Liangpeng Nie et al.· Journal of Computational Bio...· 0 citations
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