GeneICL: A Tabular Foundation Model for Bulk Transcriptomics
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...
Michael A. Bohl, Alexander Theus, David Wissel et al.
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