GenoBERT: A Language Model for Accurate Genotype Imputation
GenoBERT is a language model designed to accurately impute genotypes from genomic data. The research compared GenoBERT against existing models like STICI across different cohorts (1KGP/AMR, 1KGP/SAS, 1KGP/EAS). Results show GenoBERT consistently achieves the highest accuracy, demonstrating superior performance in handling diverse populations and varying levels of missing data compared to traditional methods.