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1 Ergebnisse
1
Application of Multi-Dimensional SNV Features in Supervised..:
, In:
2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
,
Yu, Liang
;
Li, Bo
;
Chen, Lu
.. - p. 4007-4013 , 2023
Link:
https://doi.org/10.1109/BIBM58861.2023.10385747
RT T1 <cTitle>2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)</cTitle>: T1 <Title>Application of Multi-Dimensional SNV Features in Supervised Learning</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10385747&Exemplar=1&LAN=DE A1 Yu, Liang A1 Li, Bo A1 Chen, Lu A1 Gao, Lin A1 Hao, Hongxia YR 2023 SN 2156-1133 K1 Support vector machines K1 Supervised learning K1 Genomics K1 Predictive models K1 Feature extraction K1 Prediction algorithms K1 Data mining K1 SNV K1 Supervised Learning K1 Multi-dimensional Features K1 Cancer Identification SP 4007 OP 4013 LK http://dx.doi.org/https://doi.org/10.1109/BIBM58861.2023.10385747 DO https://doi.org/10.1109/BIBM58861.2023.10385747 SF ELIB - SuUB Bremen
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