Evaluating Methods for the Prediction of Cell Type-Specific Enhancers in the Mammalian Cortex.

ABSTRACT: Identifying cell type-specific enhancers in the brain is critical to building genetic tools for investigating the mammalian brain. Computational methods for functional enhancer prediction have been proposed and validated in the fruit fly and not yet the mammalian brain. We organized the 'Brain Initiative Cell Census Network (BICCN) Challenge: Predicting Functional Cell Type-Specific Enhancers from Cross-Species Multi-Omics' to assess machine learning and feature-based methods designed to nominate enhancer DNA sequences to target cell types in the mouse cortex. Methods were evaluated based on in vivo validation data from hundreds of cortical cell type-specific enhancers that were previously packaged into individual AAV vectors and retro-orbitally injected into mice. We find that open

SUBMITTER: Johansen NJ 

PROVIDER: S-EPMC11370467 | biostudies-literature | 2025 Mar

REPOSITORIES: biostudies-literature