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Article

Learning polygenic scores for human blood cell traits

2020-02-18

Abstract excerpt

Polygenic scores (PGSs) for blood cell traits can be constructed using summary statistics from genome-wide association studies. As the selection of variants and the modelling of their interactions in PGSs may be limited by univariate analysis, therefore, such a conventional method may yield sub-optional performance. This study evaluated the relative effectiveness of four machine learning and deep learning methods,...

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Literature Corpus work
09ffb145-4022-59a5-9693-cff164918913
DOI
10.1101/2020.02.17.952788
Open publication

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Learning polygenic scores for human blood cell traitsDOI 10.1101/2020.02.17.952788
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