A mouse-specific model to detect genes under selection in tumors

Abstract excerpt

Mouse is a widely used model organism in cancer research. However, no computational methods exist to identify cancer driver genes in mice due to a lack of labeled training data. To address this knowledge gap, we adapted the GUST (genes under selection in tumors) model, originally trained on human exomes, to mouse exomes using transfer learning. The resulting tool, called GUST-mouse, can estimate long-term and shor...

Topics

Open a Topic to create a Post that cites this publication.

• INDEL Mutation
• Microsatellite Instability
• Models, Genetic
• Mutation Rate
• Neoplasms
• Point Mutation
• Polymorphism, Single Nucleotide
• Selection, Genetic

Identifiers and source

Literature Corpus work

c592b554-e345-5738-9cdc-5102c884f7e4

DOI

10.1101/2023.04.12.536653