Chem2Gen-Bench is a new benchmark and evaluation framework for measuring alignment between chemical and genetic perturbation responses in matched cell-target contexts using retrieval, similarity, and embedding comparisons.
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Proposes the AIVT conceptual framework for unified AI-driven tissue state representation, molecular/morphological prediction, and spatiotemporal simulation from spatial multimodal data.
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Chem2Gen-Bench: Benchmarking Chemical-to-Genetic Translation in Perturbation Response Space
Chem2Gen-Bench is a new benchmark and evaluation framework for measuring alignment between chemical and genetic perturbation responses in matched cell-target contexts using retrieval, similarity, and embedding comparisons.
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Building artificial intelligence virtual tissue (AIVT) for tissue state representation, feature prediction, and dynamic simulation
Proposes the AIVT conceptual framework for unified AI-driven tissue state representation, molecular/morphological prediction, and spatiotemporal simulation from spatial multimodal data.