AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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Gene expression is widely measured in biomedicine, yet clinical outcome prediction remains challenging due to high dimensionality, strong feature correlations, and limited labeled data. Large self-supervised transcriptomic foundation models often fail to outperform simple supervised baselines. Tabular foundation models...
CDState, an unsupervised deconvolution method based on nonnegative matrix factorization with a sum-to-one constraint and a cosine-similarity-based optimization, which infers malignant cell states using bulk RNA-seq data, is demonstrated to be utility for characterization of malignant cell states from bulk RNA-seq data.
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