Johan Trygg

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Svante Woldprofessor of chemometrics, umea univ, sweden
Elaine HolmesMurdoch University & Imperial College LondonVerified email at imperial.ac.uk
Pär JonssonUmeå UniversitetVerified email at chem.umu.se
Henrik AnttiDepartment of Chemsitry, Umeå University, SwedenVerified email at chem.umu.se
Max BylesjöFios Genomics LtdVerified email at fiosgenomics.com
Jeremy K NicholsonPro-Vice Chancellor, Health Sciences; Director, Australian National Phenome Center, MurdochVerified email at murdoch.edu.au
Olivier CloarecKorrigan SciencesVerified email at korrigan.co.uk
Mattias RantalainenAssociate professor, Karolinska Institutet, SwedenVerified email at ki.se
Andreas SjödinFOIVerified email at foi.se
Tommy LöfstedtAssociate Professor at Umeå University doing Machine Learning and Computer Vision in Medical ImagingVerified email at umu.se
Stefan JanssonProfessor in plant cell and molecular biology, Umeå Plant Sience Centre, Umeå UniversityVerified email at plantphys.umu.se
Lindon JCVerified email at imperial.ac.uk
Marc-Emmanuel Dumas, PhD, FRSB,...Professor, Chair in Systems Medicine, Imperial College LondonVerified email at imperial.ac.uk
John P. ShockcorVisiting Professor, Dept of Surgery and Cancer, Imperial College, LondonVerified email at imperial.ac.uk
Craig WheelockAssociate Professor of Biochemistry, Karolinska InstituteVerified email at ki.se
rui pintoResearch engineer in data analysis, Umeå UniversitetVerified email at chem.umu.se
Miyako KusanoUniversity of TsukubaVerified email at psc.riken.jp
Tim EbbelsReader in Computational Bioinformatics, Imperial College LondonVerified email at imperial.ac.uk
Anders BerglundMoffitt Cancer CenterVerified email at moffitt.org
vaibhav srivastavaResearcher, KTHVerified email at kth.se

Johan Trygg

Professor in Chemometrics, Umeå University, Sweden

Verified email at chem.umu.se - Homepage

AI/deep learning and mechanistic modelling in life science medicine and the pharmaceutical industry


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Multi-and megavariate data analysis basic principles and applications L Eriksson, T Byrne, E Johansson, J Trygg, C Vikström Umetrics Academy, 2013	2974	2013
Orthogonal projections to latent structures (O‐PLS) J Trygg, S Wold Journal of Chemometrics: A Journal of the Chemometrics Society 16 (3), 119-128, 2002	2175	2002
Chemometrics in metabonomics J Trygg, E Holmes, T Lundstedt Journal of proteome research 6 (2), 469-479, 2007	1358	2007
OPLS discriminant analysis: combining the strengths of PLS‐DA and SIMCA classification M Bylesjö, M Rantalainen, O Cloarec, JK Nicholson, E Holmes, J Trygg Journal of Chemometrics: A Journal of the Chemometrics Society 20 (8‐10 …, 2006	1164	2006
Visualization of GC/TOF-MS-based metabolomics data for identification of biochemically interesting compounds using OPLS class models S Wiklund, E Johansson, L Sjöström, EJ Mellerowicz, U Edlund, ... Analytical chemistry 80 (1), 115-122, 2008	1093	2008
Statistical total correlation spectroscopy: an exploratory approach for latent biomarker identification from metabolic 1H NMR data sets O Cloarec, ME Dumas, A Craig, RH Barton, J Trygg, J Hudson, ... Analytical chemistry 77 (5), 1282-1289, 2005	894	2005
Some recent developments in PLS modeling S Wold, J Trygg, A Berglund, H Antti Chemometrics and intelligent laboratory systems 58 (2), 131-150, 2001	638	2001
The MicroArray Quality Control (MAQC)-II study of common practices for the development and validation of microarray-based predictive models. L Shi, G Campbell, WD Jones, F Campagne, Z Wen, SJ Walker, Z Su, ... Nature biotechnology 28 (8), 827-838, 2010	616	2010
Evaluation of the orthogonal projection on latent structure model limitations caused by chemical shift variability and improved visualization of biomarker changes in 1H NMR … O Cloarec, ME Dumas, J Trygg, A Craig, RH Barton, JC Lindon, ... Analytical chemistry 77 (2), 517-526, 2005	609	2005
CV‐ANOVA for significance testing of PLS and OPLS® models L Eriksson, J Trygg, S Wold Journal of Chemometrics: A Journal of the Chemometrics Society 22 (11‐12 …, 2008	593	2008
Chemometrics in metabolomics—a review in human disease diagnosis R Madsen, T Lundstedt, J Trygg Analytica chimica acta 659 (1-2), 23-33, 2010	563	2010
Extraction and GC/MS analysis of the human blood plasma metabolome A Jiye, J Trygg, J Gullberg, AI Johansson, P Jonsson, H Antti, ... Analytical chemistry 77 (24), 8086-8094, 2005	474	2005
Proposed minimum reporting standards for data analysis in metabolomics R Goodacre, D Broadhurst, AK Smilde, BS Kristal, JD Baker, R Beger, ... Metabolomics 3 (3), 231-241, 2007	408	2007
High-throughput data analysis for detecting and identifying differences between samples in GC/MS-based metabolomic analyses P Jonsson, AI Johansson, J Gullberg, J Trygg, B Grung, S Marklund, ... Analytical chemistry 77 (17), 5635-5642, 2005	398	2005
O2‐PLS, a two‐block (X–Y) latent variable regression (LVR) method with an integral OSC filter J Trygg, S Wold Journal of chemometrics 17 (1), 53-64, 2003	345	2003
Using chemometrics for navigating in the large data sets of genomics, proteomics, and metabonomics (gpm) L Eriksson, H Antti, J Gottfries, E Holmes, E Johansson, F Lindgren, I Long, ... Analytical and bioanalytical chemistry 380 (3), 419-429, 2004	309	2004
O2‐PLS for qualitative and quantitative analysis in multivariate calibration J Trygg Journal of Chemometrics: A Journal of the Chemometrics Society 16 (6), 283-293, 2002	267	2002
PLS regression on wavelet compressed NIR spectra J Trygg, S Wold Chemometrics and Intelligent Laboratory Systems 42 (1-2), 209-220, 1998	233	1998
LAMINA: a tool for rapid quantification of leaf size and shape parameters M Bylesjö, V Segura, RY Soolanayakanahally, AM Rae, J Trygg, ... BMC plant biology 8 (1), 1-9, 2008	205	2008
Data integration in plant biology: the O2PLS method for combined modeling of transcript and metabolite data M Bylesjö, D Eriksson, M Kusano, T Moritz, J Trygg The Plant Journal 52 (6), 1181-1191, 2007	183	2007

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