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transcriptomics

topic1 events
papersTODAY 04:00 UTC

Knowledge-enhanced approach proposed for single-cell foundation models

A new arXiv paper examines how single-cell foundation models depend on large transcriptomic pretraining datasets, noting that adding more data brings diminishing returns at rising computational cost. The authors' data scaling analysis suggests incorporating structured biological knowledge could improve efficiency instead of relying on scale alone. The work points toward knowledge-enhanced pretraining as an alternative direction for the field.

foundation-models/single-cell/pretraining/research