Projection to latent structures with orthogonal constraints for metabolomics data (English)
- New search for: Stocchero, Matteo
- New search for: Riccadonna, Samantha
- New search for: Franceschi, Pietro
- New search for: Stocchero, Matteo
- New search for: Riccadonna, Samantha
- New search for: Franceschi, Pietro
In:
JOURNAL OF CHEMOMETRICS
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32
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NA
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2018
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ISSN:
- Article (Journal) / Print
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Title:Projection to latent structures with orthogonal constraints for metabolomics data
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Contributors:
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Published in:JOURNAL OF CHEMOMETRICS ; 32, 5 ; NA
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Publisher:
- New search for: John Wiley & Sons Ltd
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Publication date:2018-01-01
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Size:NA
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ISSN:
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Type of media:Article (Journal)
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Type of material:Print
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Language:English
- New search for: 540.72
- Further information on Dewey Decimal Classification
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Classification:
DDC: 540.72 -
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Table of contents – Volume 32, Issue 5
The tables of contents are generated automatically and are based on the data records of the individual contributions available in the index of the TIB portal. The display of the Tables of Contents may therefore be incomplete.
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Machine learning‐based genetic evolution of antitumor proteins containing unnatural amino acids by integrating chemometric modeling and cytotoxicity analysisHe, Yongkang / Gao, Luoluo et al. | 2018
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One‐dimensional convolutional neural networks for spectroscopic signal regressionMalek, Salim / Melgani, Farid / Bazi, Yakoub et al. | 2018
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Projection to latent structures with orthogonal constraints for metabolomics dataStocchero, Matteo / Riccadonna, Samantha / Franceschi, Pietro et al. | 2018
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Issue Information| 2018
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Application of near‐infrared spectroscopy combined with chemometrics for online monitoring of Moluodan extractionTao, Lingyan / Li, Wenjing / Jin, Ye / Yang, Yue / Wu, Yongjiang / Liu, Xuesong et al. | 2018
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An improved plant‐wide fault detection scheme based on PCA and adaptive threshold for reliable process monitoring: Application on the new revised model of Tennessee Eastman processBakdi, Azzeddine / Kouadri, Abdelmalek et al. | 2018
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Cover Picture| 2018
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A frequency‐localized recursive partial least squares ensemble for soft sensingPoerio, Dominic V. / Brown, Steven D. et al. | 2018
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Variable selection and chemometric models for discriminating symptomatic gout based on a metabolic target analysisSun, XiaoMing / Pei, Dong / Huang, XinYi / Di, DuoLong / Liu, Yun et al. | 2018
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Nonparametric algorithm for identification of outliers in environmental dataČampulová, Martina / Michálek, Jaroslav / Mikuška, Pavel / Bokal, Drago et al. | 2018
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Confidence ellipsoids for ASCA models based on multivariate regression theoryLiland, Kristian Hovde / Smilde, Age / Marini, Federico / Næs, Tormod et al. | 2018
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Molecular modeling and chemometric analysis of osteoporosis calmodulin‐TRPV1 binding affinity by statistically characterizing complex interactionsLiu, Xudong / Zhu, Limin / Wang, Lei / Yu, Lingzhi / Gao, Cong et al. | 2018