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1 Ergebnisse
1
Novel Data Mining Techniques in aCGH based Breast Cancer Su..:
, In:
2007 IEEE Symposium on Computational Intelligence and Bioinformatics and Computational Biology
,
Menolascina, F
;
Tommasi, S
;
Paradiso, A
... - p. None , 2007
Link:
https://doi.org/10.1109/CIBCB.2007.4221198
RT T1 <cTitle>2007 IEEE Symposium on Computational Intelligence and Bioinformatics and Computational Biology</cTitle>: T1 <Title>Novel Data Mining Techniques in aCGH based Breast Cancer Subtypes Profiling: the Biological Perspective</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-4221198&Exemplar=1&LAN=DE A1 Menolascina, F A1 Tommasi, S A1 Paradiso, A A1 Cortellino, M A1 Bevilacqua, V A1 Mastronardi, G YR 2007 K1 Data mining K1 Breast cancer K1 Machine learning algorithms K1 Machine learning K1 Gene expression K1 Statistical analysis K1 Ontologies K1 Intelligent systems K1 Computational intelligence K1 Pipelines K1 Ant Miner K1 Breast Caner K1 Decision Trees K1 Gene Expression Programming K1 Rule Induction SP None LK http://dx.doi.org/https://doi.org/10.1109/CIBCB.2007.4221198 DO https://doi.org/10.1109/CIBCB.2007.4221198 SF ELIB - SuUB Bremen
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