ANOVA-simultaneous component analysis (ASCA): a new tool for analyzing designed metabolomics data

By Age K. Smilde, J. J. Jansen, Huub C. J. Hoefsloot, R. Lamers, J. Greef, Marieke E. Timmerman. Bioinform., 2005

646 citations recorded by the source corpus.

Subfields: Analytical Chemistry, Biomedical Engineering, Molecular Biology

View Paper: https://www.semanticscholar.org/paper/2e8dbb7d88ce70f442bde7cceb9d2397b8b6afe3

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Analytical Chemistry

1. David S. Wishart
2. Jianguo Xia
3. Age K. Smilde
4. Johan A. Westerhuis
5. Julien Boccard
6. David Broadhurst
7. Huub C. J. Hoefsloot
8. Serge Rudaz

In Biomedical Engineering

1. Jianguo Xia
2. David S. Wishart
3. Age K. Smilde
4. Johan A. Westerhuis
5. Julien Boccard
6. Jasmine Chong
7. Huub C. J. Hoefsloot
8. Serge Rudaz

In Molecular Biology

1. Jianguo Xia
2. David S. Wishart
3. Jasmine Chong
4. Igor Sinelnikov
5. R. Mandal
6. David Broadhurst
7. Age K. Smilde
8. Johan A. Westerhuis

Citations in the corpus

• Using MetaboAnalyst 4.0 for Comprehensive and Integrative Metabolomics Data Analysis (2019, methodology): “These advanced methods include such techniques as multi-way ANOVA, ANOVA-simultaneous component analysis (ASCA; Smilde et al., 2005) and multivariate empirical Bayes time-series analysis (MEBA; Tai & Speed, 2006).”
• ANOVA–principal component analysis and ANOVA–simultaneous component analysis: a comparison (2011, methodology): “In this paper we consider two recently developed methods that overcome the limitations of MANOVA: ANOVA–simultaneous component analysis (ASCA) [4,5] and ANOVA–principal component analysis (PCA) [6,7].”
• Using MetaboAnalyst 3.0 for Comprehensive Metabolomics Data Analysis (2016, methodology): “These advanced methods include such techniques as multi-way ANOVA, ANOVA-simultaneous component analysis (ASCA; Smilde et al., 2005), and multivariate empirical Bayes time-series analysis (MEBA) (Tai and Speed, 2006).”
• Mass spectrometry-based metabolomics. (2007, methodology): “However, if the aim of the study is a mere biomarker discovery in samples of known classes, common statistical methods such as ANOVA or the recently described ASCA (ANOVA-simultaneous component analysis) can be used (Smilde et al., 2005).”
• Harnessing the complexity of metabolomic data with chemometrics (2014, methodology): “treatment, dose and time), such as multilevel simultaneous component analysis (SCA) [58], ANOVA-SCA (ASCA [59,60]), ANOVAPCA [61], scaled-to-maximum aligned and reduced trajectories (SMART [62]) and principal response curves (PRC [63]).”
• MetaboAnalyst 2.0—a comprehensive server for metabolomic data analysis (2012, methodology): “It also supports its multivariate extension known as ANOVA-simultaneous component analysis (ASCA) (18) for two-factor and time-series data analysis.”