𝔼xpression prediction models with LD reference data are available in this website. The models were trained on Common Mind Consortium, GTEx, and STARNET consortiums. The underlying algorithm is Elastic Net, informed by epigenetic data. These models were presented in “Integrative transcriptome … Read more →

𝕊ingle-tissue expression prediction models with LD reference data are available in this GitHub repository. The underlying algorithm is Elastic Net. These models were presented in “Gene expression imputation across multiple brain regions provides insights into schizophrenia risk, Huckins et al, … Read more →

𝕊ingle-tissue expression prediction models with LD reference data are available in this Zenodo repository. The underlying algorithm is Elastic Net on MESA multi-ethnic cohort. These models were presented in “Genetic architecture of gene expression traits across diverse populations”, … Read more →

𝔼xpression prediction models with LD reference data ar available in this Zenodo repository. The underlying algorithm is Elastic Net. […] Additional support information and details are available in the Zenodo repository. You can find release notes in this link. Acknowledging these models: If … Read more →

𝔼xpression prediction models with LD reference data are available in this Zenodo repository. […] Additional support information and details are available in the Zenodo repository. Please check this link, about the GTEx v7 models, for a few caveats found in GTEx v6 models. Acknowledging these … Read more →