AI RESEARCH
HarmonyCell: Automating Single-Cell Perturbation Modeling under Semantic and Distribution Shifts
arXiv CS.AI
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ArXi:2603.01396v2 Announce Type: replace Single-cell perturbation studies face dual heterogeneity bottlenecks: (i) semantic heterogeneity--identical biological concepts encoded under incompatible metadata schemas across datasets; and (ii) statistical heterogeneity--distribution shifts from biological variation demanding dataset-specific inductive biases.