| Publication type: | Article in scientific journal |
| Type of review: | Peer review (publication) |
| Title: | Imputation of rounded zeros for high-dimensional compositional data |
| Authors: | Templ, Matthias Hron, Karel Filzmoser, Peter Gardlo, Alžbӗta |
| DOI: | 10.1016/j.chemolab.2016.04.011 |
| Published in: | Chemometrics and Intelligent Laboratory Systems |
| Volume(Issue): | 2016 |
| Issue: | 155 |
| Page(s): | 183 |
| Pages to: | 190 |
| Issue Date: | 2016 |
| Publisher / Ed. Institution: | Elsevier |
| ISSN: | 0169-7439 1873-3239 |
| Language: | English |
| Subject (DDC): | 510: Mathematics |
| Abstract: | High-dimensional compositional data, multivariate observations carrying relative information, frequently contain values below a detection limit (rounded zeros). We introduce new model-based procedures for replacing these values with reasonable numbers, so that the completed data set is ready for use with statistical analysis methods that rely on complete data, such as regression or classification with high-dimensional explanatory variables. The procedures respect the geometry of compositional data and can be considered as alternatives to existing methods. Simulations show that especially in high-dimensions, the proposed methods outperform existing methods. Moreover, even for a large number of rounded zeros, the new methods lead to an improved quality of the data, which is important for further analyses. The usefulness of the procedure is demonstrated using a data example from metabolomics. |
| URI: | https://digitalcollection.zhaw.ch/handle/11475/5691 |
| Fulltext version: | Published version |
| License (according to publishing contract): | Licence according to publishing contract |
| Departement: | School of Engineering |
| Organisational Unit: | Institute of Data Analysis and Process Design (IDP) |
| Appears in collections: | Publikationen School of Engineering |
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Templ, M., Hron, K., Filzmoser, P., & Gardlo, A. (2016). Imputation of rounded zeros for high-dimensional compositional data. Chemometrics and Intelligent Laboratory Systems, 2016(155), 183–190. https://doi.org/10.1016/j.chemolab.2016.04.011
Templ, M. et al. (2016) ‘Imputation of rounded zeros for high-dimensional compositional data’, Chemometrics and Intelligent Laboratory Systems, 2016(155), pp. 183–190. Available at: https://doi.org/10.1016/j.chemolab.2016.04.011.
M. Templ, K. Hron, P. Filzmoser, and A. Gardlo, “Imputation of rounded zeros for high-dimensional compositional data,” Chemometrics and Intelligent Laboratory Systems, vol. 2016, no. 155, pp. 183–190, 2016, doi: 10.1016/j.chemolab.2016.04.011.
TEMPL, Matthias, Karel HRON, Peter FILZMOSER und Alžbӗta GARDLO, 2016. Imputation of rounded zeros for high-dimensional compositional data. Chemometrics and Intelligent Laboratory Systems. 2016. Bd. 2016, Nr. 155, S. 183–190. DOI 10.1016/j.chemolab.2016.04.011
Templ, Matthias, Karel Hron, Peter Filzmoser, and Alžbӗta Gardlo. 2016. “Imputation of Rounded Zeros for High-Dimensional Compositional Data.” Chemometrics and Intelligent Laboratory Systems 2016 (155): 183–90. https://doi.org/10.1016/j.chemolab.2016.04.011.
Templ, Matthias, et al. “Imputation of Rounded Zeros for High-Dimensional Compositional Data.” Chemometrics and Intelligent Laboratory Systems, vol. 2016, no. 155, 2016, pp. 183–90, https://doi.org/10.1016/j.chemolab.2016.04.011.
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