Evaluation of Genotype-Based Gene Expression Model Performance: A Cross-Framework and Cross-Dataset Study

Predicting gene expression from genotyped data is valuable for studying inaccessible tissues such as the brain. Herein we present eGenScore, a polygenic/poly-variation method, and compare it with PrediXcan, a method based on regularized linear regression using elastic nets. While both methods have t...

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Detalles Bibliográficos
Autores principales: Tavares, Vânia, Monteiro, Joana, Vassos, Evangelos, Coleman, Jonathan, Prata, Diana
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8536060/
https://www.ncbi.nlm.nih.gov/pubmed/34680927
http://dx.doi.org/10.3390/genes12101531

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8536060/
https://www.ncbi.nlm.nih.gov/pubmed/34680927
http://dx.doi.org/10.3390/genes12101531

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