J. Trygg

发表

The MicroArray Quality Control (MAQC)-II study of common practices for the development and validation of microarray-based predictive models

Kevin C. Dorff, Aaron M. Smalter, Stephen C. Harris, 2010, Nature Biotechnology.

Orthogonal projections to latent structures (O‐PLS)

S. Wold, J. Trygg, 2002 .

Chemometrics in metabonomics.

Johan Trygg, Elaine Holmes, Torbjörn Lundstedt, 2007, Journal of proteome research.

Chemometrics in metabolomics--a review in human disease diagnosis.

Johan Trygg, Torbjörn Lundstedt, T. Lundstedt, 2010, Analytica chimica acta.

O2‐PLS, a two‐block (X–Y) latent variable regression (LVR) method with an integral OSC filter

Johan Trygg, Svante Wold, S. Wold, 2003 .

Statistically integrated metabonomic-proteomic studies on a human prostate cancer xenograft model in mice.

M. Rantalainen, I. Wilson, J. Trygg, 2006, Journal of proteome research.

Statistical total correlation spectroscopy: an exploratory approach for latent biomarker identification from metabolic 1H NMR data sets.

D. Gauguier, J. Trygg, J. Lindon, 2005, Analytical chemistry.

High-throughput data analysis for detecting and identifying differences between samples in GC/MS-based metabolomic analyses.

Johan Trygg, Henrik Antti, Pär Jonsson, 2005, Analytical chemistry.

Extraction, interpretation and validation of information for comparing samples in metabolic LC/MS data sets.

Stephen J. Bruce, M. Sjöström, J. Trygg, 2005, The Analyst.

Integrated analysis of transcript, protein and metabolite data to study lignin biosynthesis in hybrid aspen.

Johan Trygg, Jan Karlsson, Max Bylesjö, 2009, Journal of proteome research.

Kynurenine pathway is altered in patients with SLE and associated with severe fatigue

J. Trygg, S. Pettersson, I. Gunnarsson, 2018, Lupus Science & Medicine.

Roll compaction process modeling: transfer between equipment and impact of process parameters.

J. Trygg, G. Reynolds, Nabil Souihi, 2015, International journal of pharmaceutics.

Design Space Estimation of the Roller Compaction Process

J. Trygg, B. Gururajan, Nabil Souihi, 2013 .

Combining experimental design and orthogonal projections to latent structures to study the influence of microcrystalline cellulose properties on roll compaction.

J. Trygg, M. Fransson, A. Sparén, 2011, International journal of pharmaceutics.

A quality by design approach to investigate the effect of mannitol and dicalcium phosphate qualities on roll compaction.

J. Trygg, O. Svensson, M. Fransson, 2013, International journal of pharmaceutics.

Near-infrared chemical imaging (NIR-CI) on roll compacted ribbons and tablets--multivariate mapping of physical and chemical properties.

J. Trygg, Nabil Souihi, M. Josefson, 2015, International journal of pharmaceutics.

Evaluation of the orthogonal projection on latent structure model limitations caused by chemical shift variability and improved visualization of biomarker changes in 1H NMR spectroscopic metabonomic studies.

J. Trygg, J. Lindon, J. Nicholson, 2005, Analytical chemistry.

LAMINA: a tool for rapid quantification of leaf size and shape parameters

J. Trygg, P. Gustafsson, V. Segura, 2008, BMC Plant Biology.

O2‐PLS for qualitative and quantitative analysis in multivariate calibration

J. Trygg, 2002 .

A cross-species transcriptomics approach to identify genes involved in leaf development

J. Trygg, P. Gustafsson, M. Bylesjö, 2008, BMC Genomics.

Quantification of run order effect on chromatography - mass spectrometry profiling data.

E. Johansson, J. Trygg, S. Rantapää-Dahlqvist, 2018, Journal of chromatography. A.

Extraction and GC/MS analysis of the human blood plasma metabolome.

J. Trygg, T. Moritz, S. Marklund, 2005, Analytical chemistry.

Visualization of GC/TOF-MS-based metabolomics data for identification of biochemically interesting compounds using OPLS class models.

U. Edlund, E. Johansson, J. Trygg, 2008, Analytical chemistry.

Multi-Organ Contribution to the Metabolic Plasma Profile Using Hierarchical Modelling

T. Lundstedt, S. Rännar, J. Trygg, 2015, PloS one.

OPLS discriminant analysis: combining the strengths of PLS‐DA and SIMCA classification

M. Rantalainen, J. Trygg, J. Nicholson, 2006 .

Ultrasound imaging of dorsal neck muscles with speckle tracking analyses – the relationship between muscle deformation and force

J. Trygg, G. Peterson, A. Peolsson, 2019, Scientific Reports.

Building multivariate systems biology models.

E. Johansson, S. Goto, J. Trygg, 2012, Analytical chemistry.

Novel insights into the interplay between ventral neck muscles in individuals with whiplash-associated disorders

D. Falla, J. Trygg, G. Peterson, 2015, Scientific reports.

Altered ventral neck muscle deformation for individuals with whiplash associated disorder compared to healthy controls - a case-control ultrasound study.

J. Trygg, G. Peterson, A. Peolsson, 2015, Manual therapy.

Kernel‐based orthogonal projections to latent structures (K‐OPLS)

M. Rantalainen, J. Trygg, J. Nicholson, 2007 .

PLS regression on wavelet compressed NIR spectra

S. Wold, J. Trygg, 1998 .

Some recent developments in PLS modeling

S. Wold, J. Trygg, A. Berglund, 2001 .

Association between pathology and texture features of multi parametric MRI of the prostate

P. Georg, D. Georg, T. Helbich, 2016, Physics in medicine and biology.

Haralick texture features from apparent diffusion coefficient (ADC) MRI images depend on imaging and pre-processing parameters

Johan Trygg, Patrik Brynolfsson, Tufve Nyholm, 2017, Scientific Reports.

Strategy for optimizing LC-MS data processing in metabolomics: a design of experiments approach.

Erik Johansson, Johan Trygg, Thomas Moritz, 2012, Analytical chemistry.

Variable influence on projection (VIP) for OPLS models and its applicability in multivariate time series analysis

Johan Trygg, Lennart Eriksson, Beatriz Galindo-Prieto, 2015 .

A chemometrics toolbox based on projections and latent variables

Johan Trygg, Svante Wold, Lennart Eriksson, 2014 .

Orthogonal signal correction, wavelet analysis, and multivariate calibration of complicated process fluorescence data

Rasmus Bro, Erik Johansson, Johan Trygg, 2000 .

Strategy for minimizing between-study variation of large-scale phenotypic experiments using multivariate analysis.

B. Sundberg, J. Trygg, R. Pinto, 2012, Analytical chemistry.

A new approach for variable influence on projection (VIP) in O2PLS models

P. Geladi, J. Trygg, Beatriz Galindo-Prieto, 2017 .

Chapter 6 – Chemometrics Techniques for Metabonomics

T. Lundstedt, J. Trygg, 2007 .

A whole-genome sequenced control population in northern Sweden reveals subregional genetic differences

E. Johansson, P. Olason, J. Trygg, 2020, PloS one.

Predictive metabolite profiling applying hierarchical multivariate curve resolution to GC-MS data--a potential tool for multi-parametric diagnosis.

Johan Lindberg, Johan Trygg, Henrik Antti, 2006, Journal of proteome research.

Dynamic modelling of time series data in nutritional metabonomics — A powerful complement to randomized clinical trials in functional food studies

Johan Trygg, Torbjörn Lundstedt, Mattias Hedenström, 2010 .

OPLS methodology for analysis of pre-processing effects on spectroscopic data

Bernd Schmidt, Johan Trygg, Christian Airiau, 2006 .

Application of Multiblock Analysis on Small Metabolomic Multi-Tissue Dataset

J. Trygg, Frida Torell, Tomas Skotare, 2020, Metabolites.

Global expression profiling in leaves of free-growing aspen

J. Trygg, M. Bylesjö, A. Sjödin, 2008, BMC Plant Biology.

Serine Protease Inhibitors Restrict Host Susceptibility to SARS-CoV-2 Infections

J. Trygg, J. Henriksson, M. Becker, 2022, mBio.

Individual Variation in Lipidomic Profiles of Healthy Subjects in Response to Omega-3 Fatty Acids

J. Trygg, J. German, R. Weiss, 2013, PloS one.

Diagnostic properties of metabolic perturbations in rheumatoid arthritis

T. Lundstedt, J. Trygg, S. Rantapää-Dahlqvist, 2011, Arthritis Research & Therapy.

O 2 PLS ® for improved analysis and visualization of complex data

S. Wold, L. Eriksson, J. Trygg, 2008 .

Following the compositional changes of fresh grape skin cell walls during the fermentation process in the presence and absence of maceration enzymes.

Johan Trygg, John P Moore, Anscha J J Zietsman, 2015, Journal of agricultural and food chemistry.

A multi-omics approach reveals function of Secretory Carrier-Associated Membrane Proteins in wood formation of Populus trees

Johan Trygg, Torgeir R Hvidsten, Thomas Moritz, 2018, BMC Genomics.

Environmental and hormonal regulation of the activity-dormancy cycle in the cambial meristem involves stage-specific modulation of transcriptional and metabolic networks.

Johan Trygg, Thomas Moritz, Annika Johansson, 2007, The Plant journal : for cell and molecular biology.

Piecewise multivariate modelling of sequential metabolic profiling data

Timothy M. D. Ebbels, Johan Trygg, Mattias Rantalainen, 2008, BMC Bioinformatics.

ODIN: Outlier Detection In Neural Networks

Johan Trygg, Rickard Sjögren, J. Trygg, 2018 .

Generalized Subset Designs in Analytical Chemistry.

Erik Johansson, Johan Trygg, Izabella Surowiec, 2017, Analytical chemistry.

Design of experiments on 135 cloned poplar trees to map environmental influence in greenhouse.

Erik Johansson, Johan Trygg, Magnus Hertzberg, 2011, Analytica chimica acta.

Separating Y‐predictive and Y‐orthogonal variation in multi‐block spectral data

Erik Johansson, Johan Trygg, Svante Wold, 2006 .

A speckle tracking application of ultrasound to evaluate activity of multilayered cervical muscles.

S. O'Leary, J. Trygg, G. Jull, 2014, Journal of rehabilitation medicine.

Lipid response patterns in acute phase paediatric Plasmodium falciparum malaria

J. Trygg, S. Bergström, I. Surowiec, 2017, Metabolomics.

Perinatal risk factors for mortality in very preterm infants—A nationwide, population‐based discriminant analysis

J. Trygg, S. Håkansson, David Nilsson, 2022, Acta paediatrica.

Metabolic Profiling of Systemic Lupus Erythematosus and Comparison with Primary Sjögren’s Syndrome and Systemic Sclerosis

Johan Trygg, Anders A. Bengtsson, Thomas Moritz, 2016, PloS one.

Deep Learning Architectures For the Prediction of YY1-Mediated Chromatin Loops

A. Dengel, J. Trygg, Sheraz Ahmed, 2022, bioRxiv.

Model-based intensification of CHO cell cultures: One-step strategy from fed-batch to perfusion

J. Trygg, A. Richelle, P. Agarwal, 2022, bioRxiv.

L2S-MirLoc: A Lightweight Two Stage MiRNA Sub-Cellular Localization Prediction Framework

Muhammad Ali Ibrahim, A. Dengel, J. Trygg, 2021, 2021 International Joint Conference on Neural Networks (IJCNN).

Toward Delicate Anomaly Detection of Energy Consumption for Buildings: Enhance the Performance From Two Levels

J. Trygg, D. Wang, M. Tysklind, 2022, IEEE Access.

Mechanical properties of the trapezius during scapular elevation in people with chronic whiplash associated disorders--A case-control ultrasound speckle tracking analysis.

J. Trygg, G. Jull, Maria Landén Ludvigsson, 2016, Manual therapy.

A statistical resampling method to calculate biomagnification factors exemplified with organochlorine data from herring (Clupea harengus) muscle and guillemot (Uria aalge) egg from the Baltic sea.

J. Trygg, M. Tysklind, P. Schüller, 2005, Environmental science & technology.

Tissue sample stability: thawing effect on multi-organ samples

T. Lundstedt, S. Rännar, J. Trygg, 2016, Metabolomics.

Alterations in the Mechanical Response of Deep Dorsal Neck Muscles in Individuals Experiencing Whiplash-Associated Disorders Compared to Healthy Controls: An Ultrasound Study

J. Trygg, L. Rahnama, G. Peterson, 2017, American journal of physical medicine & rehabilitation.

Quantitative proteomics reveals protein profiles underlying major transitions in aspen wood development

B. Sundberg, J. Trygg, T. Moritz, 2016, BMC Genomics.

Variable influence on projection (VIP) for orthogonal projections to latent structures (OPLS)

Johan Trygg, Lennart Eriksson, Beatriz Galindo-Prieto, 2014 .

Changes in diurnal patterns within the Populus transcriptome and metabolome in response to photoperiod variation.

J. Trygg, T. Moritz, H. Antti, 2010, Plant, cell & environment.

A machine learning framework to improve effluent quality control in wastewater treatment plants.

J. Trygg, M. Tysklind, Nabil Souihi, 2021, The Science of the total environment.

Metabolomics study of fatigue in patients with rheumatoid arthritis naïve to biological treatment

T. Lundstedt, J. Trygg, R. Omdal, 2016, Rheumatology International.

Multi- and Megavariate Data Analysis : Part II: Advanced Applications and Method Extensions

Johan Trygg, Svante Wold, Lennart Eriksson, 2006 .

Data integration in plant biology: the O2PLS method for combined modeling of transcript and metabolite data.

Daniel Eriksson, Johan Trygg, Max Bylesjö, 2007, The Plant journal : for cell and molecular biology.

CV‐ANOVA for significance testing of PLS and OPLS® models

Johan Trygg, Svante Wold, Lennart Eriksson, 2008 .

EL-RMLocNet: An explainable LSTM network for RNA-associated multi-compartment localization prediction

Muhammad Ali Ibrahim, A. Dengel, J. Trygg, 2022, Computational and structural biotechnology journal.

MirLocPredictor: A ConvNet-Based Multi-Label MicroRNA Subcellular Localization Predictor by Incorporating k-Mer Positional Information

Andreas Dengel, Sheraz Ahmed, Johan Trygg, 2020, Genes.

A multivariate approach using attenuated total reflectance mid-infrared spectroscopy to measure the surface mannoproteins and β-glucans of yeast cell walls during wine fermentations.

Johan Trygg, Benoit Divol, Hélène Nieuwoudt, 2015, Journal of agricultural and food chemistry.

The oxylipin and endocannabidome responses in acute phase Plasmodium falciparum malaria in children

J. Trygg, S. Bergström, I. Surowiec, 2017, Malaria Journal.

Heterozygous colon cancer-associated mutations of SAMHD1 have functional significance

Danielle L. Watt, J. Trygg, A. Chabes, 2016, Proceedings of the National Academy of Sciences.

Altered Metabolic Signature in Pre-Diabetic NOD Mice

J. Trygg, T. Moritz, R. Madsen, 2012, PloS one.

A Robust and Precise ConvNet for Small Non-Coding RNA Classification (RPC-snRC) pdf

Muhammad Imran Malik, Andreas Dengel, Sheraz Ahmed, 2019, IEEE Access.

Strong invaders are strong defenders - implications for the resistance of invaded communities.

D. Wardle, J. Trygg, S. Diehl, 2016, Ecology letters.

Orthogonal projections to latent structures as a strategy for microarray data normalization

Daniel Eriksson, Johan Trygg, Max Bylesjö, 2007, BMC Bioinformatics.

Weighted species richness outperforms species richness as predictor of biotic resistance.

D. Wardle, J. Trygg, G. Englund, 2016, Ecology.

MASQOT: a method for cDNA microarray spot quality control

Daniel Eriksson, Johan Trygg, Michael Sjöström, 2005, BMC Bioinformatics.

Protein expression in tension wood formation monitored at high tissue resolution in Populus

B. Sundberg, J. Trygg, M. Srivastava, 2017, Journal of experimental botany.

OnPLS integration of transcriptomic, proteomic and metabolomic data shows multi-level oxidative stress responses in the cambium of transgenic hipI- superoxide dismutase Populus plants

J. Trygg, T. Moritz, G. Wingsle, 2013, BMC Genomics.

Global, local and unique decompositions in OnPLS for multiblock data analysis.

Tommy Löfstedt, Johan Trygg, J. Trygg, 2013, Analytica chimica acta.

OnPLS path modelling

Tommy Löfstedt, Johan Trygg, Mohamed Hanafi, 2012 .

OnPLS—a novel multiblock method for the modelling of predictive and orthogonal variation

Tommy Löfstedt, Johan Trygg, J. Trygg, 2011 .

Proposed minimum reporting standards for data analysis in metabolomics

Douglas B. Kell, Age K. Smilde, Giovanni Paternostro, 2007, Metabolomics.

Neck-specific exercise improves impaired interactions between ventral neck muscles in chronic whiplash: A randomized controlled ultrasound study

J. Trygg, G. Peterson, A. Peolsson, 2018, Scientific Reports.

K-OPLS package: Kernel-based orthogonal projections to latent structures for prediction and interpretation in feature space

Johan Trygg, Mattias Rantalainen, Max Bylesjö, 2008, BMC Bioinformatics.

Advantages of orthogonal inspection in chemometrics

Johan Trygg, Johan Gottfries, Rui Pinto, 2012 .

A strategy for modelling dynamic responses in metabolic samples characterized by GC/MS

Johan Lindberg, Johan Trygg, Henrik Antti, 2006, Metabolomics.

Postprandial metabolomics: A pilot mass spectrometry and NMR study of the human plasma metabolome in response to a challenge meal.

J. Trygg, M. Nording, A. Zivkovic, 2016, Analytica chimica acta.

EGFR Gene Variants Are Associated with Specific Somatic Aberrations in Glioma

P. Van Loo, R. Henriksson, J. Trygg, 2012, PloS one.

Evaluation of a protocol for metabolic profiling studies on human blood plasma by combined ultra-performance liquid chromatography/mass spectrometry: From extraction to data analysis.

Johan Trygg, Henrik Antti, Pär Jonsson, 2008, Analytical biochemistry.

Chemometric Analysis of Bacterial Peptidoglycan Reveals Atypical Modifications That Empower the Cell Wall against Predatory Enzymes and Fly Innate Immunity.

B. Lemaître, F. Cava, M. de Pedro, 2016, Journal of the American Chemical Society.

Using chemometrics for navigating in the large data sets of genomics, proteomics, and metabonomics (gpm)

Erik Johansson, Fredrik Lindgren, Johan Trygg, 2004, Analytical and bioanalytical chemistry.

The effects of thawing on the plasma metabolome: evaluating differences between thawed plasma and multi-organ samples

T. Lundstedt, S. Rännar, J. Trygg, 2017, Metabolomics.

Bioinformatics strategies for cDNA-microarray data processing

Patrik Rydén, Eva Freyhult, Mattias Landfors, 2009 .

Background Estimation, Denoising, and Preprocessing

Johan Trygg, Jon Gabrielsson, Torbjörn Lundstedt, 2009 .

The PLS method -- partial least squares projections to latent structures -- and its applications in industrial RDP (research, development, and production)

Johan Trygg, Svante Wold, Lennart Eriksson, 2004 .

A whole-genome sequenced control population in northern Sweden reveals subregional genetic differences

Pall I. Olason, E. Johansson, P. Olason, 2020, bioRxiv.

A geographically matched control population efficiently limits the number of candidate disease-causing variants in an unbiased whole-genome analysis

Pall I. Olason, E. Johansson, P. Olason, 2019, PloS one.

Multivariate strategy for the sample selection and integration of multi-batch data in metabolomics

Erik Johansson, Johan Trygg, Helena Idborg, 2017, Metabolomics.

Cell-specific chemotyping and multivariate imaging by combined FT-IR microspectroscopy and orthogonal projections to latent structures (OPLS) analysis reveals the chemical landscape of secondary xylem.

Johan Trygg, Björn Sundberg, Hans Stenlund, 2011, The Plant journal : for cell and molecular biology.

Multi-platform metabolomics assays for human lung lavage fluids in an air pollution exposure study

T. Sandström, J. Trygg, M. Nording, 2016, Analytical and Bioanalytical Chemistry.

Cytokine Profiles in Autoantibody Defined Subgroups of Systemic Lupus Erythematosus.

J. Trygg, I. Gunnarsson, E. Svenungsson, 2019, Journal of proteome research.

Statistical analysis in metabolic phenotyping

T. Ebbels, J. Trygg, J. Nicholson, 2021, Nature Protocols.

LIVECell—A large-scale dataset for label-free live cell segmentation

Timothy R. Jackson, A. Dengel, J. Trygg, 2021, Nature Methods.

On the impact of uncorrelated variation in regression mathematics

E. Johansson, J. Trygg, J. Gottfries, 2008 .

Towards better process management in wastewater treatment plants: Process analytics based on SHAP values for tree-based machine learning methods.

J. Trygg, M. Tysklind, Dong Wang, 2022, Journal of environmental management.

Multivariate curve resolution provides a high-throughput data processing pipeline for pyrolysis-gas chromatography/mass spectrometry

B. Sundberg, J. Trygg, T. Moritz, 2012 .

Chemometrics and Intelligent Laboratory Systems

Johan Trygg, Pär Jonsson, Thomas Moritz, 2008 .

ADC texture--an imaging biomarker for high-grade glioma?

Johan Trygg, Patrik Brynolfsson, Tufve Nyholm, 2014, Medical physics.

doepipeline: a systematic approach to optimizing multi-level and multi-step data processing workflows

J. Trygg, David Sundell, A. Sjödin, 2019, BMC Bioinformatics.

doepipeline: a systematic approach to optimizing multi-level and multi-step data processing workflows

Johan Trygg, Daniel Svensson, David Sundell, 2018, BMC Bioinformatics.

Metabolite Signature during Short-Day Induced Growth Cessation in Populus

Johan Trygg, Atsushi Fukushima, Miyako Kusano, 2011, Front. Plant Sci..

Overexpression of VviPGIP1 and NtCAD14 in Tobacco Screened Using Glycan Microarrays Reveals Cell Wall Reorganisation in the Absence of Fungal Infection

J. Trygg, J. Fangel, W. Willats, 2020, Vaccines.

Metabolic Profiling of Multiorgan Samples: Evaluation of MODY5/RCAD Mutant Mice.

Johan Trygg, Thomas Moritz, Torbjörn Lundstedt, 2018, Journal of proteome research.

Combining process and spectroscopic data to improve batch modeling

Bernd Schmidt, Johan Trygg, Christian Airiau, 2006 .

Chemometrics in Metabolomics — An Introduction

Johan Trygg, Pär Jonsson, Thomas Moritz, 2006 .

II.2 Chemometrics in Metabolomics - An Introduction

Johan Trygg, Pär Jonsson, Thomas Moritz, 2006 .

blood plasma by combined ultra-performance liquid 4 chromatography/mass spectrometry: From extraction to data analysis

Stephen J. Bruce, J. Trygg, T. Moritz, 2007 .

OnPLS-Based Multi-Block Data Integration: A Multivariate Approach to Interrogating Biological Interactions in Asthma

Paul Geladi, Johan Trygg, Craig E Wheelock, 2018, Analytical chemistry.

Metabolic Signature Profiling as a Diagnostic and Prognostic Tool in Pediatric Plasmodium falciparum Malaria

J. Trygg, S. Bergström, I. Surowiec, 2015, Open forum infectious diseases.

Consensus by Democracy. Using Meta-Analyses of Microarray and Genomic Data to Model the Cold Acclimation Signaling Pathway in Arabidopsis1[W]

Johan Trygg, Matt Geisler, J. Trygg, 2006, Plant Physiology.

Bioinformatics Consensus by Democracy . Using Meta-Analyses of Microarray and Genomic Data to Model the Cold Acclimation Signaling Pathway in Arabidopsis 1 [ W ]

J. Trygg, M. Geisler, V. Hurry, 2006 .

Telomemore enables single-cell analysis of cell cycle and chromatin condensation

J. Trygg, J. Henriksson, M. Forsell, 2023, bioRxiv.

The OPLS methodology for analysis of multi‐block batch process data

Bernd Schmidt, Johan Trygg, Christian Airiau, 2006 .

BoT-Net: a lightweight bag of tricks-based neural network for efficient LncRNA–miRNA interaction prediction

Muhammad Ali Ibrahim, A. Dengel, J. Trygg, 2022, Interdisciplinary Sciences: Computational Life Sciences.

Recent Developments in Multivariate Calibration

Jon Gabrielsson, Johan Trygg, J. Trygg, 2006 .

MASQOT-GUI: spot quality assessment for the two-channel microarray platform

Daniel Eriksson, Johan Trygg, Max Bylesjö, 2006, Bioinform..

Dysregulations in circulating sphingolipids associate with disease activity indices in female patients with systemic lupus erythematosus: a cross-sectional study

P. Nilsson, J. Trygg, I. Gunnarsson, 2017, Lupus.

Metabolic responses to change in disease activity during tumor necrosis factor inhibition in patients with rheumatoid arthritis.

T. Lundstedt, J. Trygg, S. Rantapää-Dahlqvist, 2012, Journal of proteome research.

Metabolite and Lipid Profiling of Biobank Plasma Samples Collected Prior to Onset of Rheumatoid Arthritis

J. Trygg, S. Rantapää-Dahlqvist, L. Ärlestig, 2016, PloS one.

Multiblock variable influence on orthogonal projections (MB-VIOP) for enhanced interpretation of total, global, local and unique variations in OnPLS models

Paul Geladi, Johan Trygg, Beatriz Galindo-Prieto, 2020, BMC Bioinform..

Monitoring kidney-transplant patients using metabolomics and dynamic modeling

Johan Trygg, Hans Stenlund, Torbjörn Lundstedt, 2009 .

Overexpression of vesicle-associated membrane protein PttVAP27-17 as a tool to improve biomass production and the overall saccharification yields in Populus trees

J. Trygg, H. Tuominen, T. Moritz, 2021, Biotechnology for Biofuels.

Preliminary evaluation of dorsal muscle activity during resisted cervical extension in patients with longstanding pain and disability following anterior cervical decompression and fusion surgery.

J. Trygg, G. Jull, A. Peolsson, 2015, Physiotherapy.

The PLS model space revisited

Barry M. Wise, Johan Trygg, John F. MacGregor, 2009 .

Quantitative proteomics reveals protein profiles underlying major transitions in aspen wood development

B. Sundberg, J. Trygg, T. Moritz, 2016, BMC Genomics.

Multivariate analysis of congruent images (MACI)

Johan Trygg, Svante Wold, Lennart Eriksson, 2005 .

PLS‐trees®, a top‐down clustering approach

Johan Trygg, Svante Wold, Lennart Eriksson, 2009 .

Weighted species richness outperforms species richness as predictor of biotic resistance.

D. Wardle, J. Trygg, G. Englund, 2016, Ecology.

Serum metabolite signature predicts the acute onset of diabetes in spontaneously diabetic congenic BB rats

Johan Trygg, Thomas Moritz, Hans Stenlund, 2011, Metabolomics.

Abstract of the 35th Scandinavian Congress of Rheumatology, Stockholm, Sweden, September 20th – 23rd, 2014

J. Trygg, I. Gunnarsson, E. Svenungsson, 2014, Scandinavian journal of rheumatology. Supplement.

Unlocking interpretation in near infrared multivariate calibrations by orthogonal partial least squares.

Erik Johansson, Johan Trygg, Hans Stenlund, 2009, Analytical chemistry.

Dynamic ultrasound imaging—A multivariate approach for the analysis and comparison of time-dependent musculoskeletal movements

Tommy Löfstedt, Johan Trygg, Olof Ahnlund, 2012, BMC Medical Imaging.

Modelling human musculoskeletal functional movements using ultrasound imaging

Tommy Löfstedt, Johan Trygg, Anton Arndt, 2010, BMC Medical Imaging.

The MicroArray Quality Control (MAQC)-II study of common practices for the development and validation of microarray-based predictive models

Todd H. Stokes, Kevin C. Dorff, Aaron M. Smalter, 2010, Nature Biotechnology.

Metabolic profiling of zebrafish embryo development from blastula period to early larval stages

T. Lundstedt, S. Rännar, J. Trygg, 2019, PloS one.

RESEARCH ARTICLE Open Access Diagnostic properties of metabolic perturbations in rheumatoid arthritis

T. Lundstedt, J. Trygg, S. Rantapää-Dahlqvist, 2022 .

Global, local and unique decompositions in OnPLS for multiblock data analysis.

J. Trygg, Tommy Löfstedt, D. Hoffman, 2013, Analytica chimica acta.

A scalable, data analytics workflow for image-based morphological profiles

J. Trygg, O. Cloarec, Pär Jonsson, 2023, bioRxiv.

Three-block bi-focal PLS (3BIF-PLS) and its application in QSAR

S Wold, S. Wold, E. Johansson, 2004, SAR and QSAR in environmental research.

Point2Mask: A Weakly Supervised Approach for Cell Segmentation Using Point Annotation

Timothy R. Jackson, A. Dengel, J. Trygg, 2022, MIUA.

MASQOT: a method for cDNA microarray spot quality control

J. Trygg, M. Bylesjö, Daniel Eriksson, 2005, BMC Bioinformatics.

Lipid mediator profiles differ between lung compartments in asthmatic and healthy humans

T. Sandström, J. Trygg, S. Lundström, 2013, European Respiratory Journal.

An Introduction to Some Basic Chemometric Tools

L. Eriksson, J. Trygg, Erik Johansson, 2021, Chemometrics and Cheminformatics in Aquatic Toxicology.

Joint and Unique Multiblock Analysis for Integration and Calibration Transfer of NIR Instruments.

Paul Geladi, Johan Trygg, Tomas Skotare, 2019, Analytical chemistry.

Visualization of descriptive multiblock analysis

David Nilsson, Johan Trygg, Rickard Sjögren, 2018, Journal of Chemometrics.

OPLS in batch monitoring - Opens up new opportunities.

Johan Trygg, Lennart Eriksson, Nabil Souihi, 2015, Analytica chimica acta.

Editorial

T. Lundstedt, L. Eriksson, J. Trygg, 2022 .

Near-infrared hyperspectral image analysis for monitoring the cheese-ripening process.

J. Trygg, David Nilsson, M. Alinaghi, 2023, Journal of dairy science.

Complete Genome Sequence of Francisella guangzhouensis Strain 08HL01032T, Isolated from Air-Conditioning Systems in China

J. Trygg, M. Forsman, A. Sjödin, 2015, Genome Announcements.

Hierarchical time‐series analysis of dynamic bioprocess systems

E. Johansson, J. Trygg, Christoph Zehe, 2022, Biotechnology journal.

Multivariate patent analysis—Using chemometrics to analyze collections of chemical and pharmaceutical patents

Johan Trygg, Rickard Sjögren, Kjell Stridh, 2020 .