Johan Trygg
Analytical Chemistry · 2001–2015
A researcher in the Science corpus: 14 papers; trusts 9 researchers and is trusted by 44 researchers here, as inferred from the citation graph.
Subfields
- Analytical Chemistry — 29 citations into it; #31 of 1,254 by trust here, #37 by citations
- Statistics and Probability — 24 citations into it; #9,365 of 12,932 by trust here, #4,809 by citations
- Control and Systems Engineering — 11 citations into it
- Industrial and Manufacturing Engineering — 11 citations into it
- Food Science — 8 citations into it; #706 of 1,700 by trust here, #1,291 by citations
- Spectroscopy — 6 citations into it; #129 of 1,674 by trust here, #668 by citations
- Biophysics — 5 citations into it
Whom Johan Trygg trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Richard G. Brereton
- Svante Wold
- Tom Fearn
- Ø. Langsrud
- Agnar Höskuldsson
- Héctor C. Goicoechea
- Max Bylesjö
- Johan A. Westerhuis
Who trusts Johan Trygg overall
- Thomas Verron
- Bradley Worley
- Max Bylesjö
- Lennart Eriksson
- Yifeng Li
- David J. Biagioni
- Rolf Ergon
- Satoru Tsuchikawa
- Robert Sabatier
- Johan A. Westerhuis
Papers from Johan Trygg's perspective
Ordered by how strongly the researchers Johan Trygg trusts endorse each paper. Same corpus, a different order for every researcher.
- Orthogonal projections to latent structures (O‐PLS)
- A Statistical View of Some Chemometrics Regression Tools
- Multivariate Analysis of Quality. An Introduction
- Orthogonal Tensor Decompositions (SIAM Journal on Matrix Analysis and Applications)
- Ridge Regression: Biased Estimation for Nonorthogonal Problems
- 50–50 multivariate analysis of variance for collinear responses
- A comparison of methods for testing differences in predictive ability
- Multivariate calibration. (Journal of Chromatography A)
- Tumor classification by partial least squares using microarray gene expression data (Bioinform.)
- Applied Multivariate Analysis (Technometrics)
Their papers
- Proposed minimum reporting standards for data analysis in metabolomics (2007) — 435 citations
- Orthogonal projections to latent structures (O‐PLS) (2002) — 2,361 citations
- Prediction and spectral profile estimation in multivariate calibration (2004) — 63 citations
- O2‐PLS, a two‐block (X–Y) latent variable regression (LVR) method with an integral OSC filter (2003) — 332 citations
- Statistical total correlation spectroscopy: an exploratory approach for latent biomarker identification from metabolic 1H NMR data sets. (2005) — 857 citations
- OPLS discriminant analysis: combining the strengths of PLS‐DA and SIMCA classification (2006) — 1,406 citations
- Chemometrics in metabonomics. (2007) — 1,223 citations
- Visualization of GC/TOF-MS-based metabolomics data for identification of biochemically interesting compounds using OPLS class models. (2008) — 1,208 citations
- The MicroArray Quality Control (MAQC)-II study of common practices for the development and validation of microarray-based predictive models (2010) — 549 citations
- Variable influence on projection (VIP) for OPLS models and its applicability in multivariate time series analysis (2015) — 100 citations
- A chemometrics toolbox based on projections and latent variables (2014) — 61 citations
- CV‐ANOVA for significance testing of PLS and OPLS® models (2008) — 725 citations
- O2‐PLS for qualitative and quantitative analysis in multivariate calibration (2002) — 241 citations
- Some recent developments in PLS modeling (2001) — 559 citations