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1 Ergebnisse
1
ENNGene : an Easy Neural Network model building tool for Ge..:
Chalupová, Eliška
;
Vaculík, Ondřej
;
Poláček, Jakub
...
Chalupová, E., Vaculík, O., Poláček, J., Jozefov, F., Majtner, T., & Alexiou, P. (2022). ENNGene: an Easy Neural Network model building tool for Genomics. BMC genomics, 23, 248.. , 2022
Link:
https://www.um.edu.mt/library/oar/handle/123456789/117..
RT Journal T1 <Title>ENNGene : an Easy Neural Network model building tool for Genomics</Title> UL https://suche.suub.uni-bremen.de/peid=base-ftunivmalta:oai:www.um.edu.mt:123456789_117332&Exemplar=1&LAN=DE A1 Chalupová, Eliška A1 Vaculík, Ondřej A1 Poláček, Jakub A1 Jozefov, Filip A1 Majtner, Tomáš A1 Alexiou, Panagiotis PB BioMed Central YR 2022 K1 Data sets K1 Genomics -- Case studies K1 Deep learning (Machine learning) K1 Convolutions (Mathematics) K1 Neural networks (Computer science) JF Chalupová, E., Vaculík, O., Poláček, J., Jozefov, F., Majtner, T., & Alexiou, P. (2022). ENNGene: an Easy Neural Network model building tool for Genomics. BMC genomics, 23, 248. LK http://dx.doi.org/https://www.um.edu.mt/library/oar/handle/123456789/117332 DO https://www.um.edu.mt/library/oar/handle/123456789/117332 SF ELIB - SuUB Bremen
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