2009
DOI: 10.1016/j.canlet.2008.09.018
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Derivation of a subtype-specific biochemical signature of endometrial carcinoma using synchrotron-based Fourier-transform infrared microspectroscopy

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Cited by 32 publications
(35 citation statements)
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“…In this view, the advantage of LDA is that it makes it possible to reveal clusters, identifying objectively also the most contributory wavenumbers responsible for spectra discrimination [21,58]. In particular, the application of PCA-LDA to spectroscopic investigation of complex biological systems proved to be a useful tool for the identification of spectral biomarkers of the process under investigation [7,35,69,70,71].…”
Section: Applications Of Multivariate Analysis To Spectroscopic Data mentioning
confidence: 99%
See 1 more Smart Citation
“…In this view, the advantage of LDA is that it makes it possible to reveal clusters, identifying objectively also the most contributory wavenumbers responsible for spectra discrimination [21,58]. In particular, the application of PCA-LDA to spectroscopic investigation of complex biological systems proved to be a useful tool for the identification of spectral biomarkers of the process under investigation [7,35,69,70,71].…”
Section: Applications Of Multivariate Analysis To Spectroscopic Data mentioning
confidence: 99%
“…One outstanding work, worth to mention here, was done by Kelly and colleagues [70], where the authors showed how infrared spectroscopy and multivariate techniques can be used as a novel diagnostic approach for endometrial cancer screening. They first demonstrated how SR-FTIR microspectroscopy with subsequent PCA-LDA allows the clear segregation of different subtypes of endometrial carcinoma.…”
Section: Applications Of Multivariate Analysis To Spectroscopic Data mentioning
confidence: 99%
“…The basis of separation along F2 axis is based on the size of saccharides on the D ring, with disaccharides (Rb1, Rb3) higher than monosaccharides (Rd, Re, Rg1). The loading plots [40] (Figure 4 B) show a widely differential set of sensing ensembles, as they are found in all the quadrants of the plot. Such plots give the contribution of the host/indicator pairings to the F-axes.…”
Section: Pairing Of Indicatorsmentioning
confidence: 99%
“…investigate colorectal cancer [7,8], gastric cancer [9], prostate cancer [10], papillary thyroid carcinoma [11], breast cancer [12], ovarian cancer [13,14], urinary bladder cancer [15] and other cancers [16][17][18][19][20][21][22]. There were also some reports on FTIR spectroscopic study of liver diseases such as liver cancer [5,23,24] and hepatic fibrosis [25,26] [26].…”
Section: Introductionmentioning
confidence: 98%