AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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Findings suggest that TCR-expressing B1 cells may represent an intermediate lymphoid population with multipotent differentiation capacity, providing new insights into lymphocyte diversification and developmental plasticity.
It is demonstrated that attention-based protein language models can accurately identify nucleic acid-binding proteins directly from sequence data and reveal biologically meaningful sequence determinants of binding, establishing an interpretable and scalable framework for proteome-wide characterization of protein–nuclei...
An openly licensed framework is provided to interpret and recalibrate pathogenicity predictors such as AlphaMissense in the somatic setting rather than a replacement predictor, and a cancer-calibrated stack modestly improves discrimination over the best single tool.
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