Article
A deep learning approach to prediction of blood group antigens from genomic data.
Transfusion - 1 Nov 2024
Moslemi Camous, Sækmose Susanne, Larsen Rune, Brodersen Thorsten, Bay Jakob T, Didriksen Maria, Nielsen Kaspar R, Bruun Mie T, Dowsett Joseph, Dinh Khoa M, Mikkelsen Christina, Hyvärinen Kati, Ritari Jarmo, Partanen Jukka, Ullum Henrik, Erikstrup Christian, Ostrowski Sisse R, Olsson Martin L, Pedersen Ole B
Abstract excerpt
BACKGROUND: Deep learning methods are revolutionizing natural science. In this study, we aim to apply such techniques to develop blood type prediction models based on cheap to analyze and easily scalable screening array genotyping platforms. METHODS: Combining existing blood types from blood banks and imputed screening array genotypes for ~111,000 Danish and 1168 Finnish blood donors, we used deep learning...
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