Partial least squares for discrimination

Barker, Matthew L; Rayens, William S.

doi:10.1002/cem.785

Cited by 2,423 publications

(1,628 citation statements)

References 22 publications

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“…The application of principal component analysis showed a sufficient separation between the groups in the first three dimensions, displaying the second and third components (Supplementary Figure S1A). In order to extrapolate the lists of mass signals causing the possible separation between the two classes (C57J vs C57N), an orthogonal partial least squares discriminant analysis (OPLS/O2PLS-DA) has been performed (Trygg, 2002;Trygg and Wold, 2002;Barker and Rayens, 2003;Bylesjö et al, 2006). The robustness of the model has been tested with cross-validation analysis of variance (P ¼ 0.000275).…”

Section: Generalmentioning

confidence: 99%

Distinct signatures of host–microbial meta-metabolome and gut microbiome in two C57BL/6 strains under high-fat diet

et al. 2014

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A combinatory approach using metabolomics and gut microbiome analysis techniques was performed to unravel the nature and specificity of metabolic profiles related to gut ecology in obesity. This study focused on gut and liver metabolomics of two different mouse strains, the C57BL/6J (C57J) and the C57BL/6N (C57N) fed with high-fat diet (HFD) for 3 weeks, causing dietinduced obesity in C57N, but not in C57J mice. Furthermore, a 16S-ribosomal RNA comparative sequence analysis using 454 pyrosequencing detected significant differences between the microbiome of the two strains on phylum level for Firmicutes, Deferribacteres and Proteobacteria that propose an essential role of the microbiome in obesity susceptibility. Gut microbial and liver metabolomics were followed by a combinatory approach using Fourier transform ion cyclotron resonance mass spectrometry (FT-ICR-MS) and ultra performance liquid chromatography time of tlight MS/MS with subsequent multivariate statistical analysis, revealing distinctive host and microbial metabolome patterns between the C57J and the C57N strain. Many taurine-conjugated bile acids (TBAs) were significantly elevated in the cecum and decreased in liver samples from the C57J phenotype likely displaying different energy utilization behavior by the bacterial community and the host. Furthermore, several metabolite groups could specifically be associated with the C57N phenotype involving fatty acids, eicosanoids and urobilinoids. The mass differences based metabolite network approach enabled to extend the range of known metabolites to important bile acids (BAs) and novel taurine conjugates specific for both strains. In summary, our study showed clear alterations of the metabolome in the gastrointestinal tract and liver within a HFD-induced obesity mouse model in relation to the host-microbial nutritional adaptation.

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Section: Generalmentioning

confidence: 99%

Distinct signatures of host–microbial meta-metabolome and gut microbiome in two C57BL/6 strains under high-fat diet

et al. 2014

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“…cm1 is drawn from a NASA spacecraft instrument project, pc1 is from a flight In order to investigate the performance of AKPLSC (Gaussian kernel κ(x, y) = exp(−||x − y|| 2 ) is used here), we compare it with random undersampling (RUS) [4], AdaBoost [4], Partial Least Squares Classifier (PLSC) [7], APLSC [6], and KPLSC [8]. For each data set, we perform a 10 × 5-fold cross validation.…”

Section: Resultsmentioning

confidence: 99%

“…Linear Partial Least Squares (PLS) [7] is an effective linear transformation, which performs the regression on the subset of extracted latent variables. Kernel PLS [8] first performs nonlinear mapping Φ : {x i } n i=1 ∈ R N → Φ(x) ∈ F to project an input vector to a higher dimensional feature space.…”

Section: Asymmetric Kernel Partial Least Squares Classifier For Softwmentioning

confidence: 99%

Asymmetric Learning Based on Kernel Partial Least Squares for Software Defect Prediction

Luo

Qin

2012

IEICE Trans. Inf. & Syst.

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“…Principal components analysis and partial least squares discriminant analysis were utilized as a modeling methods for clustering and discrimination. 33 Random subsets cross-validation method and Q 2 scores were used to develop the models. The variable importance in the projection values were calculated to identify the most important molecular species for the clustering of specific groups.…”

Section: Discussionmentioning

confidence: 99%

Effects of long-term intake of lactotripeptides on cardiovascular risk factors in hypertensive subjects

Jauhiainen

Niittynen²,

Orešič

et al. 2012

Eur J Clin Nutr

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BACKGROUND/OBJECTIVES: Lactobacillus helveticus LBK-16H-fermented milk products containing tripeptides isoleucine-prolineproline and valine-proline-proline lower blood pressure in hypertensive subjects using office and home blood pressure registration. The present study was aimed to evaluate the effects of two doses of these lactotripeptides on 24-h ambulatory blood pressure and lipidomics profiles in mildly hypertensive subjects. SUBJECTS/METHODS: In a randomized, double-blind, placebo-controlled parallel group study, 89 mildly hypertensive subjects ingested, after a 1-month run-in period, a fermented milk drink with 5 mg per day of lactotripeptides during 3 months, and a milk drink with 50 mg per day of lactotripeptides for the following 3 months, or a placebo milk drink without lactotripeptides. Ambulatory blood pressure (24 h) was recorded at baseline and at the end of the intervention periods. Lipidomics profiles were characterized before and after the 6-month intervention. RESULTS: After the second intervention period (50 mg per day of lactotripeptides), systolic and diastolic 24-h blood pressures decreased significantly in the peptide, but not in the placebo group. However, the treatment effects À 2.6 mm Hg (95% confidence interval (CI): À 5.7 to 0.4) in systolic and À 1.3 mm Hg (95% CI: À 3.4 to 0.8) in diastolic blood pressure did not reach statistic significance. Ingestion of 5 mg per day of lactotripeptides for 3 months did not lower blood pressure. The peptide group was dominated by decrease in multiple phospholipids (PL). CONCLUSIONS: Ingestion of fermented milk with daily dose of 50 mg of lactotripeptides appears to lower elevated blood pressure slightly from the baseline, but not significantly compared with the placebo group and to induce significant decreases in multiple PL.

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Partial least squares for discrimination

Cited by 2,423 publications

References 22 publications

Distinct signatures of host–microbial meta-metabolome and gut microbiome in two C57BL/6 strains under high-fat diet

Distinct signatures of host–microbial meta-metabolome and gut microbiome in two C57BL/6 strains under high-fat diet

Asymmetric Learning Based on Kernel Partial Least Squares for Software Defect Prediction

Effects of long-term intake of lactotripeptides on cardiovascular risk factors in hypertensive subjects

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