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Cross-population prediction performance across all five constituent GEUVADIS populations over genes with positive correlation between predictions and measurements.

Domain:

healthcare

Record type:

paper
Creator:
KevAngMarWal
Host:avatar

All populations were subsampled to N = 89 individuals. The number of genes represented varies by training sample (CEU: N = 1029, FIN: N = 1320, GBR: 1436, TSI: 1250, YRI: 914).

Tags

GeneticsMolecular BiologyEvolutionary BiologyEcologyImmunologyEnvironmental Sciences not elsewhere classifiedBiological Sciences not elsewhere classifiedMathematical Sciences not elsewhere classifiedInformation Systems not elsewhere classifiedgene expression prediction models+10

Licenses

CC BY 4.0

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Prediction R<sup>2</sup> between populations in GEUVADIS for genes with positive correlation between predictions and measurements.

The number of genes analyzed in each scenario varied in each case; see