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Results: 1 to 20 of 87

1.

Reproducibility, complementary measure of predictability for robustness improvement of multivariate calibration models via variable selections.

Lee HW, Bawn A, Yoon S.

Anal Chim Acta. 2012 Dec 13;757:11-8. doi: 10.1016/j.aca.2012.10.025. Epub 2012 Nov 1.

PMID:
23206391
[PubMed]
2.

Variable interaction network based variable selection for multivariate calibration.

Rao R, Lakshminarayanan S.

Anal Chim Acta. 2007 Sep 5;599(1):24-35. Epub 2007 Aug 6.

PMID:
17765060
[PubMed - indexed for MEDLINE]
3.

Robustness of chemometrics-based feature selection methods in early cancer detection and biomarker discovery.

Lee HW, Lawton C, Na YJ, Yoon S.

Stat Appl Genet Mol Biol. 2013 Mar 13;12(2):207-23. doi: 10.1515/sagmb-2012-0067.

PMID:
23502343
[PubMed - indexed for MEDLINE]
4.

A strategy that iteratively retains informative variables for selecting optimal variable subset in multivariate calibration.

Yun YH, Wang WT, Tan ML, Liang YZ, Li HD, Cao DS, Lu HM, Xu QS.

Anal Chim Acta. 2014 Jan 7;807:36-43. doi: 10.1016/j.aca.2013.11.032. Epub 2013 Nov 21.

PMID:
24356218
[PubMed - indexed for MEDLINE]
5.

An ensemble method based on uninformative variable elimination and mutual information for spectral multivariate calibration.

Tan C, Wang J, Wu T, Qin X, Li M.

Spectrochim Acta A Mol Biomol Spectrosc. 2010 Dec;77(5):960-4. doi: 10.1016/j.saa.2010.08.031. Epub 2010 Aug 27.

PMID:
20851045
[PubMed - indexed for MEDLINE]
6.

Optimization of informative spectral variables for the quantification of EGCG in green tea using Fourier transform near-infrared (FT-NIR) spectroscopy and multivariate calibration.

Guo Z, Chen Q, Chen L, Huang W, Zhang C, Zhao C.

Appl Spectrosc. 2011 Sep;65(9):1062-7. doi: 10.1366/11-06287.

PMID:
21929862
[PubMed - indexed for MEDLINE]
7.

Key wavelengths screening using competitive adaptive reweighted sampling method for multivariate calibration.

Li H, Liang Y, Xu Q, Cao D.

Anal Chim Acta. 2009 Aug 19;648(1):77-84. doi: 10.1016/j.aca.2009.06.046. Epub 2009 Jun 24.

PMID:
19616692
[PubMed - indexed for MEDLINE]
8.
9.

A perspective demonstration on the importance of variable selection in inverse calibration for complex analytical systems.

Yun YH, Liang YZ, Xie GX, Li HD, Cao DS, Xu QS.

Analyst. 2013 Nov 7;138(21):6412-21. doi: 10.1039/c3an00714f.

PMID:
24003437
[PubMed]
10.

[Detection of firmness and surface color of pear by near infrared spectroscopy based on Monte Carlo uninformative variables elimination method].

Hao Y, Sun XD, Pan YY, Gao RJ, Liu YD.

Guang Pu Xue Yu Guang Pu Fen Xi. 2011 May;31(5):1225-9. Chinese.

PMID:
21800570
[PubMed - in process]
11.

An ensemble of Monte Carlo uninformative variable elimination for wavelength selection.

Han QJ, Wu HL, Cai CB, Xu L, Yu RQ.

Anal Chim Acta. 2008 Apr 7;612(2):121-5. doi: 10.1016/j.aca.2008.02.032. Epub 2008 Feb 23.

PMID:
18358856
[PubMed - indexed for MEDLINE]
12.

Quantitative analysis of cotton-polyester textile blends from near-infrared spectra.

Ruckebusch C, Orhan F, Durand A, Boubellouta T, Huvenne JP.

Appl Spectrosc. 2006 May;60(5):539-44.

PMID:
16756705
[PubMed]
13.

Variables selection methods in near-infrared spectroscopy.

Xiaobo Z, Jiewen Z, Povey MJ, Holmes M, Hanpin M.

Anal Chim Acta. 2010 May 14;667(1-2):14-32. doi: 10.1016/j.aca.2010.03.048. Epub 2010 Mar 30. Review.

PMID:
20441862
[PubMed - indexed for MEDLINE]
14.

An improved boosting partial least squares method for near-infrared spectroscopic quantitative analysis.

Shao X, Bian X, Cai W.

Anal Chim Acta. 2010 May 7;666(1-2):32-7. doi: 10.1016/j.aca.2010.03.036. Epub 2010 Mar 25.

PMID:
20433961
[PubMed]
15.

Spectral variable selection for partial least squares calibration applied to authentication and quantification of extra virgin olive oils using Fourier transform Raman spectroscopy.

Heise HM, Damm U, Lampen P, Davies AN, McIntyre PS.

Appl Spectrosc. 2005 Oct;59(10):1286-94.

PMID:
16274542
[PubMed - indexed for MEDLINE]
16.

Determination of total sulfur in diesel fuel employing NIR spectroscopy and multivariate calibration.

Breitkreitz MC, Raimundo IM, Rohwedder JJ, Pasquini C, Dantas Filho HA, José GE, Araújo MC.

Analyst. 2003 Sep;128(9):1204-7.

PMID:
14529031
[PubMed]
17.

Mutual information-induced interval selection combined with kernel partial least squares for near-infrared spectral calibration.

Tan C, Li M.

Spectrochim Acta A Mol Biomol Spectrosc. 2008 Dec 15;71(4):1266-73. doi: 10.1016/j.saa.2008.03.033. Epub 2008 Apr 1.

PMID:
18462989
[PubMed - indexed for MEDLINE]
18.

A new and efficient variable selection algorithm based on ant colony optimization. Applications to near infrared spectroscopy/partial least-squares analysis.

Allegrini F, Olivieri AC.

Anal Chim Acta. 2011 Aug 5;699(1):18-25. doi: 10.1016/j.aca.2011.04.061. Epub 2011 May 11.

PMID:
21704753
[PubMed - indexed for MEDLINE]
19.

Genetic algorithm interval partial least squares regression combined successive projections algorithm for variable selection in near-infrared quantitative analysis of pigment in cucumber leaves.

Zou X, Zhao J, Mao H, Shi J, Yin X, Li Y.

Appl Spectrosc. 2010 Jul;64(7):786-94. doi: 10.1366/000370210791666246.

PMID:
20615293
[PubMed - indexed for MEDLINE]
20.

Wavelength selection for multivariate calibration using tikhonov regularization.

Stout F, Kalivas JH, Héberger K.

Appl Spectrosc. 2007 Jan;61(1):85-95.

PMID:
17311721
[PubMed - indexed for MEDLINE]

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