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Prediction and modeling of pre-analytical sampling errors as a strategy to improve plasma NMR metabolomics data.
Brunius C, Pedersen A, Malmodin D, Karlsson BG, Andersson LI, Tybring G, Landberg R. Brunius C, et al. Bioinformatics. 2017 Nov 15;33(22):3567-3574. doi: 10.1093/bioinformatics/btx442. Bioinformatics. 2017. PMID: 29036400 Free PMC article.
RESULTS: This study investigated whether pre-analytical sample variability could be predicted and reduced by modeling alterations in the plasma metabolome, measured by NMR, as a function of pre-centrifugation conditions (1-36 h pre-centrifugation delay time at 4 C and 22 …
RESULTS: This study investigated whether pre-analytical sample variability could be predicted and reduced by modeling alterations in the pla …
Impact in Plasma Metabolome as Effect of Lifestyle Intervention for Weight-Loss Reveals Metabolic Benefits in Metabolically Healthy Obese Women.
Almanza-Aguilera E, Brunius C, Bernal-Lopez MR, Garcia-Aloy M, Madrid-Gambin F, Tinahones FJ, Gómez-Huelgas R, Landberg R, Andres-Lacueva C. Almanza-Aguilera E, et al. Among authors: brunius c. J Proteome Res. 2018 Aug 3;17(8):2600-2610. doi: 10.1021/acs.jproteome.8b00042. Epub 2018 Jun 28. J Proteome Res. 2018. PMID: 29877711 Free article.
Untargeted 1H NMR-Based Metabolomics Analysis of Urine and Serum Profiles after Consumption of Lentils, Chickpeas, and Beans: An Extended Meal Study To Discover Dietary Biomarkers of Pulses.
Madrid-Gambin F, Brunius C, Garcia-Aloy M, Estruel-Amades S, Landberg R, Andres-Lacueva C. Madrid-Gambin F, et al. Among authors: brunius c. J Agric Food Chem. 2018 Jul 11;66(27):6997-7005. doi: 10.1021/acs.jafc.8b00047. Epub 2018 Jul 2. J Agric Food Chem. 2018. PMID: 29920085 Clinical Trial.
Variable selection and validation in multivariate modelling.
Shi L, Westerhuis JA, Rosén J, Landberg R, Brunius C. Shi L, et al. Among authors: brunius c. Bioinformatics. 2019 Mar 15;35(6):972-980. doi: 10.1093/bioinformatics/bty710. Bioinformatics. 2019. PMID: 30165467 Free PMC article.
70 results