AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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CARA is introduced, a cross-omics Bayesian framework that transfers cell type knowledge from scRNA-seq to scATAC-seq and detects novel cell types in single-cell DNA methylation data, demonstrating seamless extensibility to new modalities.
The ScanNet framework is a scalable, transferable, and mechanistically informed framework for accurate cell type annotation across diverse single-cell data modalities and can be flexibly transferred to single-cell ATAC-seq data by mapping chromatin accessibility to gene level.
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