Few-Shot Bioactivity Prediction with Meta-Learning under Assay Heterogeneity
Accurate bioactivity prediction is a central challenge in early-stage drug discovery, as individual assays often contain too few measurements to train reliable models independently. Meta-learning offers a principled approach to this few-shot setting, but assay heterogeneity may limit its effectiveness. Here, we test th...
Michal Kmicikiewicz, Tommy Rochussen, Vincent Fortuin et al.
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