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HyperMap: An Efficient Meta-Learning Framework for Transferring Perturbation Responses Across Diverse Biological Contexts

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Figshare2026-03-22 更新2026-04-28 收录
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https://figshare.com/articles/dataset/_b_HyperMap_An_Efficient_Meta-Learning_Framework_for_Transferring_Perturbation_Responses_Across_Diverse_Biological_Contexts_b_/31831081
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HyperMapDB is a unified resource of predicted transcriptional responses to 19,036 genetic and chemical perturbations across 19 human cell lines. Predictions were generated using HyperMap, a meta-learning framework that transfers perturbation response knowledge from existing atlases to new biological contexts. The dataset contains predicted single-cell gene expression deltas for 2,500 genes.
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2026-03-22
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