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1 Ergebnisse
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svBreak: A New Approach for the Detection of Structural Var..:
Wang, Shaoqiang
;
Li, Jie
;
Haque, A K Alvi
...
BioMed Research International. 2022 (2022) - p. 1-8 , 2022
Link:
https://doi.org/10.1155/2022/7196040
RT Journal T1
svBreak: A New Approach for the Detection of Structural Variant Breakpoints Based on Convolutional Neural Network
UL https://suche.suub.uni-bremen.de/peid=cr-10.1155_2022_7196040&Exemplar=1&LAN=DE A1 Wang, Shaoqiang A1 Li, Jie A1 Haque, A K Alvi A1 Zhao, Haiyong A1 Yang, Liying A1 Yuan, Xiguo A1 Ilie, Lucian PB Hindawi Limited YR 2022 SN 2314-6141 SN 2314-6133 JF BioMed Research International VO 2022 SP 1 OP 8 LK http://dx.doi.org/https://doi.org/10.1155/2022/7196040 DO https://doi.org/10.1155/2022/7196040 SF ELIB - SuUB Bremen
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