J
Johan Trygg
Researcher at Umeå University
Publications - 197
Citations - 17650
Johan Trygg is an academic researcher from Umeå University. The author has contributed to research in topics: Partial least squares regression & Chemometrics. The author has an hindex of 50, co-authored 185 publications receiving 15952 citations. Previous affiliations of Johan Trygg include Nanjing Medical University & Wellcome Trust Centre for Human Genetics.
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Neck-specific exercise improves impaired interactions between ventral neck muscles in chronic whiplash: A randomized controlled ultrasound study
TL;DR: It is demonstrated that non-invasive ultrasound can be a diagnostic tool for muscle impairment and used to evaluate exercise interventions in WAD and stands to make a breakthrough for better management in chronic WAD.
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On the impact of uncorrelated variation in regression mathematics
TL;DR: In this paper, the authors investigate if uncorrelated variation relates to regression mathematics as exemplified by partial least squares (PLS) methodology and find that it does not. In contra...
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The oxylipin and endocannabidome responses in acute phase Plasmodium falciparum malaria in children
Izabella Surowiec,Sandra Gouveia-Figueira,Judy Orikiiriza,Judy Orikiiriza,Elisabeth Lindquist,Mari Bonde,Jimmy Magambo,Charles Muhinda,Sven Bergström,Johan Normark,Johan Trygg +10 more
TL;DR: It was possible to detect oxylipin and endocannabinoid molecules that can be potential biomarkers for differentiation between malaria infected individuals and controls and between different classes of malaria.
Journal Article
Global analysis of low-molecular-weight compounds in human plasma using GC/TOF-MS
TL;DR: A method for analysis of low-molecular-weight compounds in human plasma involving extraction of metabolites by organic solvents, derivatization of extract and final analysis by solvent-free methods is developed.
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A Robust and Precise ConvNet for Small Non-Coding RNA Classification (RPC-snRC)
Muhammad Nabeel Asim,Muhammad Imran Malik,Christoph Zehe,Johan Trygg,Andreas Dengel,Sheraz Ahmed +5 more
TL;DR: In this article, the authors proposed a robust and precise convolutional neural network (RPC-snRC) for small non-coding RNAs (ncRNAs) classification.