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BoYueGRN: Zero-shot causal discovery of directed gene regulatory networks from single-cell transcriptomes via amortized inference over synthetic structural causal models

2026-08-20

Abstract excerpt

Gene regulatory network (GRN) inference from single-cell RNA-seq conventionally relies on per-dataset optimization. Existing tools must be refit for every new dataset, and the majority fail to infer causal regulatory directions. Here we present BoYueGRN, an amortized causal discovery framework trained exclusively on 10,000 synthetic structural causal models. For any unseen dataset, a single forward pass returns ed...

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Literature Corpus work: e482d0f8-fcfc-50f1-9bf1-c98c7ef284a9
DOI: 10.64898/2026.08.15.745056

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