- E-posttarja.rajalahti@uib.no
- BesøksadresseAllégaten 41Realfagbygget5007 Bergen
- PostadressePostboks 78035020 Bergen
Vitenskapelig artikkel
- (2023). Work Ability in the Year after Rehabilitation—Results from the RehabNytte Cohort. Journal of Clinical Medicine. 17 sider.
- (2023). Identifying possible biomarkers of lower urinary tract symptoms using metabolomics and partial least square regression. Metabolomics.
- (2022). Associations of lipoprotein particle profile and objectively measured physical activity and sedentary time in schoolchildren: a prospective cohort study. International Journal of Behavioral Nutrition and Physical Activity. 14 sider.
- (2022). An approach to assess and adjust for the influence of multicollinear covariates on metabolomics association patterns-applied to a study of the associations between a comprehensive lipoprotein profile and the homeostatic model assessment of insulin resistance. Metabolomics. 1-10.
- (2021). Influence of adiposity and physical activity on the cardiometabolic association pattern of lipoprotein subclasses to aerobic fitness in prepubertal children. PLOS ONE. 12 sider.
- (2021). Cross-sectional and prospective associations between aerobic fitness and lipoprotein particle profile in a cohort of Norwegian schoolchildren. Atherosclerosis. 21-29.
- (2021). Cardiometabolic associations between physical activity, adiposity, and lipoprotein subclasses in prepubertal norwegian children. Nutrients. 1-14.
- (2019). Number of components and prediction error in partial least squares regression determined by Monte Carlo resampling strategies. Chemometrics and Intelligent Laboratory Systems. 79-86.
- (2019). Associations of physical activity and sedentary time with lipoprotein subclasses in Norwegian schoolchildren: The Active Smarter Kids (ASK) study. Atherosclerosis. 186-193.
- (2018). Strong association between cardiorespiratory fitness and serum lipoprotein subclass pattern in prepubertal healthy children. Scandinavian Journal of Medicine & Science in Sports. 220-227.
- (2018). Determination of optimum number of components in partial least squares regression from distributions of the root‐mean‐squared error obtained by Monte Carlo resampling. Journal of Chemometrics. 1-12.
- (2017). Aerobic fitness and metabolic health in children: A clinical validation of directly measured maximal oxygen consumption versus performance measures as markers of health. Preventive Medicine Reports. 74-76.
- (2016). Serum fatty acid and lipoprotein subclass concentrations and their associations in prepubertal healthy Norwegian children. Metabolomics.
- (2016). Predictive associations between serum fatty acids and lipoproteins in healthy non-obese Norwegians: implications for cardiovascular health. Metabolomics.
- (2016). Intensive lifestyle intervention provides rapid reduction of serum fatty acid levels in women with severe obesity without lowering omega-3 to unhealthy levels. Clinical Obesity. 259-267.
- (2016). Changes in serum fatty acid and lipoprotein subclass concentrations from prepuberty to adulthood and during aging. Metabolomics. 10 sider.
- (2015). Determinants of New Product Launch Success in the Pharmaceutical Industry. Journal of Pharmaceutical Innovation. 175-189.
- (2014). Variable importance in latent variable regression models. Journal of Chemometrics. 615-622.
- (2013). Proteomic analysis of epidermal mucus from sea lice–infected Atlantic salmon, Salmo salar. Journal of Fish Diseases. 169-370.
- (2013). Proteomic analysis of epidermal mucus from sea liceinfected Atlantic salmon, Salmo salar L. Journal of Fish Diseases. 311-321.
- (2010). A multivariate approach to reveal biomarker signatures for disease classification: application to mass spectral profiles of cerebrospinal fluid from patients with multiple sclerosis. Journal of Proteome Research. 3608-3620.
- (2009). X-tended target projection (XTP) - comparison with orthogonal partial least squares (OPLS) and PLS post-processing by similarity transformation (PLS + ST). Journal of Chemometrics. 49-55.
- (2009). Discriminating Variable Test and Selectivity Ratio Plot: Quantitative Tools for Interpretation and Variable (Biomarker) Selection in Complex Spectral or Chromatographic Profiles. Analytical Chemistry. 2581-2590.
- (2009). Biomarker discovery in mass spectral profiles by means of selectivity ratio plot. Chemometrics and Intelligent Laboratory Systems. 35-48.
- (2007). Pretreatment of mass spectral profiles: Application to proteomic data. Analytical Chemistry. 7014-7026.
- (2007). Pre-analytical influence on the low molecular weight cerebrospinal fluid proteome. PROTEOMICS - Clinical Applications. 699-711.
Faglig foredrag
- (2019). God modellering som grunnlag for gode resultater.
- (2019). Er multivariate analyser ein veg å gå knytt til problematikken? .
- (2018). Fjordomics - Persontilpasset forebygging (folkehelse) og behandling vha utvidede blodanalyser .
- (2017). What can we use the new NMR platform for?
Vitenskapelig foredrag
- (2021). A novel approach to handle confounders in multicollinear data - applied to study the relation of a measure of insulin resistance (the HOMA score) to lipoprotein subclass patterns in serum from prepubertal children.
- (2019). Optimal partial least squares models and predictions of properties using Monte Carlo resampling strategies.
- (2019). Optimal Partial Least Squares models and predictions of properties using Monte Carlo resampling strategies.
- (2018). Development and maintenance of process models - automating the selection and updating of models.
- (2018). Bruk av kjemometri til persontilpasset forebygging av livsstilssykdommer.
- (2017). Monte Carlo Cross validation for component selection and determination of prediction error in latent-variable regression.
- (2017). Determination of optimum number of components in partial least squares regression.
- (2007). Target projection and proper data pre-treatment for the analysis of proteomic profiles.
- (2007). Preteatment of Mass Spectral Profiles: Application to proteomic data.
- (2007). Analysis of Proteomic Profiles.
Leder
- (2010). The 11th Scandinavian Symposium on Chemometrics, Loen, Norway, 8-11 June 2009. Journal of Chemometrics. 343-345.
Doktorgradsavhandling
- (2010). Mass spectral profiling and multivariate analysis for detection of biomarker signatures. Application to multiple sclerosis.
Intervju
- (2017). Vestlandsblod under lupen.
- (2017). Har fått 13 millionar til nytt forskningsprosjekt.
- (2017). Forskning i tetskjiktet.
Sammendrag/abstract
- (2017). Strong association between cardiorespiratory fitness and serum lipoprotein subclass pattern in prepubertal healthy children. Medicine & Science in Sports & Exercise. 640-640.
- (2014). A multivariate approach to reveal biomarker signatures in instrumental profiles of body fluids. The Complexity of Obesity Proceedings.
- (2008). Early diagnosis and biomarker discovery from mass spectral profiles: application to multiple sclerosis. Multiple Sclerosis. S285-S285.
- (2008). Biomarker discovery from mass spectral profiles: A combined proteomics and multivariate analysis. European Journal of Pharmaceutical Sciences. S27-S27.
Poster
- (2019). Factors associated with self-rated health in adolescence - results from the UngData survey.
- (2016). Impact of bariatric surgery and intensive lifestyle intervention on serum omega-3 profiles.
- (2015). Cardiovascular health revealed as correlation patterns and predictive relationships between serum lipoprotein and fatty acid features in non-obese Norwegian adults.
Vitenskapelig oversiktsartikkel/review
- (2011). Multivariate data analysis in pharmaceutics: A tutorial review. International Journal of Pharmaceutics. 280-290.
- (2007). Proteins in different Synechocystis compartments have distinguishing N-terminal features: A combined proteomics and multivariate sequence analysis. Journal of Proteome Research. 2420-2434.