Article
Data-driven prioritization of mouse strains for improved preclinical modeling of rare and common disease
2026-04-30
Abstract excerpt
Choosing an appropriate mouse genetic background is a persistent challenge for successful translation of preclinical disease modeling. We present Strain Recommender, a genomic framework that prioritizes inbred mouse strains as relatively vulnerable or resilient to a disease state using disease-associated gene signatures and strain-specific transcriptome predictions. The method represents disease states as weighted...
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Identifiers and source
- Literature Corpus work
- 201d9aa6-cbee-5dde-b9cd-6952fadc44ee
- DOI
- 10.64898/2026.04.27.721175