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Trygve Almøy
Trygve Almøy
1. amanuensis NMBU
Verified email at nmbu.no
Title
Cited by
Cited by
Year
Optimal choice of baseline correction for multivariate calibration of spectra
KH Liland, T Almøy, BH Mevik
Applied spectroscopy 64 (9), 1007-1016, 2010
2842010
Excessive use of nitrogen in Chinese agriculture results in high N2O/(N2O+N2) product ratio of denitrification, primarily due to acidification of the soils
Z Qu, J Wang, T Almøy, LR Bakken
Global change biology 20 (5), 1685-1698, 2014
2342014
Use of climatic data to assess the effect of insect harassment on the autumn weight of reindeer (Rangifer tarandus) calves
RB Weladji, Ø Holand, T Almøy
Journal of zoology 260 (1), 79-85, 2003
1452003
Microbial comparative pan-genomics using binomial mixture models
L Snipen, T Almøy, DW Ussery
BMC genomics 10, 1-8, 2009
1382009
Comparison of prediction methods when only a few components are relevant
IS Helland, T Almøy
Journal of the American Statistical Association 89 (426), 583-591, 1994
1121994
ST‐PLS: a multi‐directional nearest shrunken centroid type classifier via PLS
S Sæbø, T Almøy, J Aarøe, AH Aastveit
Journal of Chemometrics: A Journal of the Chemometrics Society 22 (1), 54-62, 2008
552008
The use of near infrared spectroscopy to predict selected free amino acids during cheese ripening
S Skeie, G Feten, T Almøy, H Østlie, T Isaksson
International Dairy Journal 16 (3), 236-242, 2006
512006
Investigating individual preferences in rating and ranking conjoint experiments. A case study on semi-hard cheese
VL Almli, A Øvrum, M Hersleth, T Almøy, T Næs
Food Quality and Preference 39, 28-39, 2015
502015
Comparing K-mer based methods for improved classification of 16S sequences
H Vinje, KH Liland, T Almøy, L Snipen
BMC bioinformatics 16, 1-13, 2015
432015
A simulation study on comparison of prediction methods when only a few components are relevant
T Almøy
Computational statistics & data analysis 21 (1), 87-107, 1996
431996
Model and estimators for partial least squares regression
IS Helland, S Sæbø, T Almøy, R Rimal
Journal of Chemometrics 32 (9), e3044, 2018
362018
LPLS-regression: a method for prediction and classification under the influence of background information on predictor variables
S Sæbø, T Almøy, A Flatberg, AH Aastveit, H Martens
Chemometrics and Intelligent Laboratory Systems 91 (2), 121-132, 2008
302008
SO-PLS as an exploratory tool for path modelling
E Menichelli, T Almøy, O Tomic, NV Olsen, T Naes
Food quality and preference 36, 122-134, 2014
272014
A systematic search for discriminating sites in the 16S ribosomal RNA gene
H Vinje, T Almøy, KH Liland, L Snipen
Microbial informatics and experimentation 4, 1-9, 2014
252014
Quantitative whole spectrum analysis with MALDI-TOF MS, Part II: Determining the concentration of milk in mixtures
KH Liland, BH Mevik, EO Rukke, T Almøy, T Isaksson
Chemometrics and intelligent laboratory systems 99 (1), 39-48, 2009
242009
Quantitative whole spectrum analysis with MALDI-TOF MS, Part I: Measurement optimisation
KH Liland, BH Mevik, EO Rukke, T Almøy, M Skaugen, T Isaksson
Chemometrics and intelligent laboratory systems 96 (2), 210-218, 2009
242009
Prediction of missing values in microarray and use of mixed models to evaluate the predictors
G Feten, T Almøy, AH Aastveit
Statistical Applications in Genetics and Molecular Biology 4 (1), 2005
242005
Multivariate optimization by visual inspection
E Sivertsen, F Bjerke, T Almøy, V Segtnan, T Næs
Chemometrics and intelligent laboratory systems 85 (1), 110-118, 2007
232007
Alternative methods for combining information about products, consumers and consumers’ acceptance based on path modelling
E Menichelli, M Hersleth, T Almøy, T Næs
Food quality and preference 31, 142-155, 2014
222014
Mitochondrial oxygen consumption in permeabilized fibers and its link to colour changes in bovine M. semimembranosus muscle
VT Phung, M Khatri, KH Liland, E Slinde, O Sørheim, T Almøy, K Saarem, ...
Meat science 93 (1), 128-137, 2013
222013
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