Article

Multiple instance fine-mapping: predicting causal regulatory variants with a deep sequence model

2025-06-14

Abstract excerpt

Identifying causal genetic variants in a computational manner remains an open problem. Training end-to-end prediction models is not possible without large ground-truth datasets, while results of genome-wide association studies (GWAS) are entangled by linkage disequilibrium (LD), and gene expression datasets do not contain genetic variation at individual-level. Here, we propose Multiple Instance Fine-mapping (MIFM)...

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Literature Corpus work: 91a42c44-b5d9-51cf-ae35-fe454d1d955c
DOI: 10.1101/2025.06.13.25329551

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