Transcriptome prediction performance across machine learning models and diverse ancestries

Summary: Transcriptome prediction methods such as PrediXcan and FUSION have become popular in complex trait mapping. Most transcriptome prediction models have been trained in European populations using methods that make parametric linear assumptions like the elastic net (EN). To potentially further...

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Autors principals:	Paul C. Okoro, Ryan Schubert, Xiuqing Guo, W. Craig Johnson, Jerome I. Rotter, Ina Hoeschele, Yongmei Liu, Hae Kyung Im, Amy Luke, Lara R. Dugas, Heather E. Wheeler
Format:	Artigo
Idioma:	Inglês
Publicat:	Elsevier 2021-04-01
Col·lecció:	HGG Advances
Matèries:	gene expression transcriptome prediction transcriptome-wide association studies African ancestries Hispanic ancestries European ancestries
Accés en línia:	http://www.sciencedirect.com/science/article/pii/S2666247720300191
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