Dimensionality reduction for metabolome data using PCA, PLS, OPLS, and RFDA with differential penalties to latent variables - Concepedia

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Dimensionality reduction for metabolome data using PCA, PLS, OPLS, and RFDA with differential penalties to latent variables

77

Citations

14

References

2009

Year

Hiroyuki Yamamoto, Hideki Yamaji, Yuichiro Abe, Kazuo Harada, Danang Waluyo, Eiichiro Fukusaki, Akihiko Kondo, Hiromu Ohno, Hideki Fukuda

Chemometrics and Intelligent Laboratory Systems

EngineeringDifferential PenaltiesData ScienceMetabolome DataMetabolomic ProfilingChemometric MethodOmicsMetabolic ProfilingDimensionality ReductionMetabolomicsMedicineFunctional Data AnalysisStatisticsPrincipal Component Analysis

References

	Year	Citations

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