Correlation optimized warping and dynamic time warping as preprocessing methods for chromatographic data

By Giorgio Tomasi, F. van den Berg, Claus A. Andersson. 2004

678 citations recorded by the source corpus.

Subfields: Analytical Chemistry, Biomedical Engineering, Signal Processing

View Paper: https://www.semanticscholar.org/paper/d041888fbf53d56deadbffe32cfb6334a6113f80

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. Robert Powers
2. Bradley Worley
3. Age K. Smilde
4. Johan Trygg
5. Royston Goodacre
6. Antonio Julià
7. Arnald Alonso
8. Sara Marsal

In Biomedical Engineering

1. Robert Powers
2. Bradley Worley
3. Age K. Smilde
4. Antonio Julià
5. Johan Trygg
6. Arnald Alonso
7. Sara Marsal
8. David J. Biagioni

In Signal Processing

1. Antonio Julià
2. Robert Powers
3. Bradley Worley
4. Arnald Alonso
5. Sara Marsal

Citations in the corpus

• Multivariate Analysis in Metabolomics. (2012, methodology): “The use of correlation optimized warping (COW), a specialized form of dynamic time warping (DTW), has recently found success in bringing peaks in chromatographic datasets into alignment by means of a dynamic programming algorithm [69, 70].”
• Analytical Methods in Untargeted Metabolomics: State of the Art in 2015 (2015, positive): “An alternative to COW method, DTW is a spectral alignment method (Tomasi et al., 2004) that is also based on dynamic programing, and where a warping path is computed to which the connected data points of each spectrum are equivalent.”
• Proposed minimum reporting standards for data analysis in metabolomics (2007, methodology): “Warping, COW, DTW, PLF (Forshed et al. 2005; Skov et al. 2007; Tomasi et al. 2004; Vogels et al. 1996) Method used to define chemical shift bins sizes and integrate the bin intensities Holmes et al. (1992); Nicholson et al. (1999) Data analysis in metabolomics 233 ratios for known sources of bias…”