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Multivariate classification of urine metabolome profiles for breast cancer diagnosis
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Authors:
Younghoon Kim
KAIST, Daejeon, South Korea
Imhoi Koo
Korea Institute of Oriental Medicine, Daejeon, South Korea
Byung Hwa Jung
KIST, Seoul, South Korea
Bong Chul Chung
KIST, Seoul, South Korea
Doheon Lee
KAIST, Daejeon, South Korea
2009 Article
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Published in:
· Proceeding
DTMBIO '09
Proceedings of the third international workshop on Data and text mining in bioinformatics
Pages 11-18
ACM
New York, NY
, USA
©2009
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ISBN: 978-1-60558-803-2
doi>
10.1145/1651318.1651323
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Tags:
algorithms
biomarker discovery
breast cancer diagnosis
experimentation
metabolomics
model development
models
multivariate classification
performance
urine analysis
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