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Multivariate classification of urine metabolome profiles for breast cancer diagnosis.

, , , , and . BMC Bioinform., 11 (S-2): 4 (2010)

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Nonlinear Model Selection Based on the Modulus of Continuity., and . IJCNN, page 1886-1893. IEEE, (2006)Regularization for Regression Models Based on the K-Functional with Besov Norm., and . ISNN (1), volume 4491 of Lecture Notes in Computer Science, page 1117-1126. Springer, (2007)Reconstruction of Metabolic Association Networks Using High-throughput Mass Spectrometry Data., , and . ICIC (1), volume 7389 of Lecture Notes in Computer Science, page 160-167. Springer, (2012)Normal-Gamma-Bernoulli peak detection for analysis of comprehensive two-dimensional gas chromatography mass spectrometry data., , , , and . Comput. Stat. Data Anal., (2017)Multivariate classification of urine metabolome profiles for breast cancer diagnosis., , , , and . DTMBIO, page 11-18. ACM, (2009)Smith-Waterman Peak Alignment for Comprehensive Two-dimensional Gas Chromatography Mass Spectrometry., , , and . BMC Bioinform., (2011)Comparative analysis of false discovery rate methods in constructing metabolic association networks., , , and . J. Bioinform. Comput. Biol., (2014)Confidence Intervals for the Risks of Regression Models., and . ICONIP (1), volume 4232 of Lecture Notes in Computer Science, page 755-764. Springer, (2006)Multivariate classification of urine metabolome profiles for breast cancer diagnosis., , , , and . BMC Bioinform., 11 (S-2): 4 (2010)A method of finding optimal weight factors for compound identification in gas chromatography-mass spectrometry., , , and . Bioinform., 28 (8): 1158-1163 (2012)