<b>HyperMap: An Efficient Meta-Learning Framework for Transferring Perturbation Responses Across Diverse Biological Contexts</b>
收藏NIAID Data Ecosystem2026-05-10 收录
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资源简介:
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.
创建时间:
2026-03-22



