Reflections on univariate and multivariate analysis of metabolomics data
Published 2013 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Reflections on univariate and multivariate analysis of metabolomics data
Authors
Keywords
Univariate analysis, Multivariate analysis, Hypothesis testing, Multiple test correction, Overfitting, Consistency at large
Journal
Metabolomics
Volume 10, Issue 3, Pages 361-374
Publisher
Springer Nature
Online
2013-10-25
DOI
10.1007/s11306-013-0598-6
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Integrating multiple analytical platforms and chemometrics for comprehensive metabolic profiling: application to meat spoilage detection
- (2013) Yun Xu et al. ANALYTICAL AND BIOANALYTICAL CHEMISTRY
- Global test for metabolic pathway differences between conditions
- (2012) Diana M. Hendrickx et al. ANALYTICA CHIMICA ACTA
- On the hypothesis-free testing of metabolite ratios in genome-wide and metabolome-wide association studies
- (2012) Ann-Kristin Petersen et al. BMC BIOINFORMATICS
- Metabolic profiling detects early effects of environmental and lifestyle exposure to cadmium in a human population
- (2012) James K Ellis et al. BMC Medicine
- A benchmark spike-in data set for biomarker identification in metabolomics
- (2012) Pietro Franceschi et al. JOURNAL OF CHEMOMETRICS
- A Critical Assessment of Feature Selection Methods for Biomarker Discovery in Clinical Proteomics
- (2012) Christin Christin et al. MOLECULAR & CELLULAR PROTEOMICS
- Thresholding for biomarker selection in multivariate data using Higher Criticism
- (2012) Ron Wehrens et al. Molecular BioSystems
- MetaboAnalyst 2.0--a comprehensive server for metabolomic data analysis
- (2012) J. Xia et al. NUCLEIC ACIDS RESEARCH
- Metabolic Changes in Urine during and after Pregnancy in a Large, Multiethnic Population-Based Cohort Study of Gestational Diabetes
- (2012) Daniel Sachse et al. PLoS One
- Assessing the metabolic effects of prednisolone in healthy volunteers using urine metabolic profiling
- (2012) Sandrine Ellero-Simatos et al. Genome Medicine
- Sparse non-negative generalized PCA with applications to metabolomics
- (2011) Genevera I. Allen et al. BIOINFORMATICS
- A lipidomic analysis approach to evaluate the response to cholesterol-lowering food intake
- (2011) Ewa Szymańska et al. Metabolomics
- Pair-wise multicomparison and OPLS analyses of cold-acclimation phases in Siberian spruce
- (2011) Liudmila Shiryaeva et al. Metabolomics
- Double-check: validation of diagnostic statistics for PLS-DA models in metabolomics studies
- (2011) Ewa Szymańska et al. Metabolomics
- Missing values in mass spectrometry based metabolomics: an undervalued step in the data processing pipeline
- (2011) Olga Hrydziuszko et al. Metabolomics
- Simplivariate Models: Uncovering the Underlying Biology in Functional Genomics Data
- (2011) Edoardo Saccenti et al. PLoS One
- Data-processing strategies for metabolomics studies
- (2011) Margriet M.W.B. Hendriks et al. TRAC-TRENDS IN ANALYTICAL CHEMISTRY
- Some common misunderstandings in chemometrics
- (2010) Karin Kjeldahl et al. JOURNAL OF CHEMOMETRICS
- The photographer and the greenhouse: how to analyse plant metabolomics data
- (2009) Jeroen J. Jansen et al. PHYTOCHEMICAL ANALYSIS
- Combination of Statistical Approaches for Analysis of 2-DE Data Gives Complementary Results
- (2008) Harald Grove et al. JOURNAL OF PROTEOME RESEARCH
- Multilevel Data Analysis of a Crossover Designed Human Nutritional Intervention Study
- (2008) Ewoud J. J. van Velzen et al. JOURNAL OF PROTEOME RESEARCH
- Assessment of PLSDA cross validation
- (2008) Johan A. Westerhuis et al. Metabolomics
- Metabolomic analysis of the interaction between plants and herbivores
- (2008) Jeroen J. Jansen et al. Metabolomics
- Simplivariate Models: Ideas and First Examples
- (2008) Jos A. Hageman et al. PLoS One
- Higher criticism thresholding: Optimal feature selection when useful features are rare and weak
- (2008) D. Donoho et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
Publish scientific posters with Peeref
Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.
Learn MoreBecome a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get Started