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Unsupervised feature extraction using deep learning empowers discovery of genetic determinants of the electrocardiogram.

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Title: Unsupervised feature extraction using deep learning empowers discovery of genetic determinants of the electrocardiogram.
Authors: Sieliwonczyk, Ewa1,2,3 (AUTHOR), Sau, Arunashis1,4 (AUTHOR), Patlatzoglou, Konstantinos1 (AUTHOR), McGurk, Kathryn A.1,2 (AUTHOR), Pastika, Libor1 (AUTHOR), Thami, Prisca K.1,2 (AUTHOR), Mangino, Massimo1,2,5 (AUTHOR), Zheng, Sean L.1,2 (AUTHOR), Powell, George1,2 (AUTHOR), Curran, Lara1,6 (AUTHOR), Buchan, Rachel J.1,2,6 (AUTHOR), Theotokis, Pantazis1,2 (AUTHOR), Peters, Nicholas S.1,4 (AUTHOR), Loeys, Bart3 (AUTHOR), Kramer, Daniel B.7 (AUTHOR), Waks, Jonathan W.7 (AUTHOR), Ng, Fu Siong1,4,8 (AUTHOR) f.ng@imperial.ac.uk, Ware, James S.1,2,4,6 (AUTHOR) j.ware@imperial.ac.uk
Source: Genome Medicine. 10/9/2025, Vol. 17 Issue 1, p1-17. 17p.
Database: Academic Search Ultimate
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  Data: <searchLink fieldCode="JN" term="%22Genome+Medicine%22">Genome Medicine</searchLink>. 10/9/2025, Vol. 17 Issue 1, p1-17. 17p.
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              Text: 10/9/2025
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