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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

Hyunsu Bong

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Open access Sep 2026

DEG2MOL: Conditional Latent Flow Matching for Transcriptome-Guided de novo Drug Design

DEG2MOL is proposed, a biologically grounded conditioning framework that encodes differentially expressed gene profiles through a Gene Ontology (GO)-informed encoder and maps this representation into the latent space of a frozen, pre-trained scaffold-aware VAE via conditional latent flow matching.

Songhyeon Kim, Wootaek Lim, Hawon Lee et al. · 0 citations
Review Open access Jul 2026

DR.DEGMON: self-explainable deep neural network for drug-induced cell viability prediction incorporating differentially expressed genes and gene ontology

The integration of GO and LRP enabled the model to suggest the underlying biological processes involved in drug responses, making it a valuable tool for predicting outcomes and discovering new biomedical knowledge in cancer pharmacogenomics.

Wootaek Lim, Jitae Kim, Songhyeon Kim et al. · 0 citations

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