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Deep learning enables genetic analysis of the human thoraci..:
Pirruccello, James P.
;
Chaffin, Mark D.
;
Chou, Elizabeth L.
...
Nature Genetics. 54 (2021) 1 - p. 40-51 , 2021
Link:
https://doi.org/10.1038/s41588-021-00962-4
RT Journal T1
Deep learning enables genetic analysis of the human thoracic aorta
UL https://suche.suub.uni-bremen.de/peid=cr-10.1038_s41588-021-00962-4&Exemplar=1&LAN=DE A1 Pirruccello, James P. A1 Chaffin, Mark D. A1 Chou, Elizabeth L. A1 Fleming, Stephen J. A1 Lin, Honghuang A1 Nekoui, Mahan A1 Khurshid, Shaan A1 Friedman, Samuel F. A1 Bick, Alexander G. A1 Arduini, Alessandro A1 Weng, Lu-Chen A1 Choi, Seung Hoan A1 Akkad, Amer-Denis A1 Batra, Puneet A1 Tucker, Nathan R. A1 Hall, Amelia W. A1 Roselli, Carolina A1 Benjamin, Emelia J. A1 Vellarikkal, Shamsudheen K. A1 Gupta, Rajat M. A1 Stegmann, Christian M. A1 Juric, Dejan A1 Stone, James R. A1 Vasan, Ramachandran S. A1 Ho, Jennifer E. A1 Hoffmann, Udo A1 Lubitz, Steven A. A1 Philippakis, Anthony A. A1 Lindsay, Mark E. A1 Ellinor, Patrick T. PB Springer Science and Business Media LLC YR 2021 SN 1061-4036 SN 1546-1718 JF Nature Genetics VO 54 IS 1 SP 40 OP 51 LK http://dx.doi.org/https://doi.org/10.1038/s41588-021-00962-4 DO https://doi.org/10.1038/s41588-021-00962-4 SF ELIB - SuUB Bremen
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