| Publikationstyp: | Beitrag in wissenschaftlicher Zeitschrift |
| Art der Begutachtung: | Peer review (Publikation) |
| Titel: | Finding predictive gene groups from microarray data |
| Autor/-in: | Dettling, Marcel Bühlmann, Peter |
| DOI: | 10.1016/j.jmva.2004.02.012 |
| Erschienen in: | Journal of Multivariate Analysis |
| Band(Heft): | 90 |
| Heft: | 1 |
| Seite(n): | 106 |
| Seiten bis: | 131 |
| Erscheinungsdatum: | 2004 |
| Verlag / Hrsg. Institution: | Elsevier |
| Verlag / Hrsg. Institution: | Amsterdam |
| ISSN: | 0047-259X |
| Sprache: | Englisch |
| Schlagwörter: | Gene expression; Penalized logistic regression; Dimension reduction; Sample classification |
| Fachgebiet (DDC): | 572: Biochemie |
| Zusammenfassung: | Microarray experiments generate large datasets with expression values for thousands of genes, but not more than a few dozens of samples. A challenging task with these data is to reveal groups of genes which act together and whose collective expression is strongly associated with an outcome variable of interest. To find these groups, we suggest the use of supervised algorithms: these are procedures which use external information about the response variable for grouping the genes. We present Pelora, an algorithm based on penalized logistic regression analysis, that combines gene selection, gene grouping and sample classification in a supervised, simultaneous way. With an empirical study on six different microarray datasets, we show that Pelora identifies gene groups whose expression centroids have very good predictive potential and yield results that can keep up with state-of-the-art classification methods based on single genes. Thus, our gene groups can be beneficial in medical diagnostics and prognostics, but they may also provide more biological insights into gene function and regulation. |
| URI: | https://digitalcollection.zhaw.ch/handle/11475/4644 |
| Volltext Version: | Publizierte Version |
| Lizenz (gemäss Verlagsvertrag): | Lizenz gemäss Verlagsvertrag |
| Departement: | School of Engineering |
| Enthalten in den Sammlungen: | Publikationen School of Engineering |
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Dettling, M., & Bühlmann, P. (2004). Finding predictive gene groups from microarray data. Journal of Multivariate Analysis, 90(1), 106–131. https://doi.org/10.1016/j.jmva.2004.02.012
Dettling, M. and Bühlmann, P. (2004) ‘Finding predictive gene groups from microarray data’, Journal of Multivariate Analysis, 90(1), pp. 106–131. Available at: https://doi.org/10.1016/j.jmva.2004.02.012.
M. Dettling and P. Bühlmann, “Finding predictive gene groups from microarray data,” Journal of Multivariate Analysis, vol. 90, no. 1, pp. 106–131, 2004, doi: 10.1016/j.jmva.2004.02.012.
DETTLING, Marcel und Peter BÜHLMANN, 2004. Finding predictive gene groups from microarray data. Journal of Multivariate Analysis. 2004. Bd. 90, Nr. 1, S. 106–131. DOI 10.1016/j.jmva.2004.02.012
Dettling, Marcel, and Peter Bühlmann. 2004. “Finding Predictive Gene Groups from Microarray Data.” Journal of Multivariate Analysis 90 (1): 106–31. https://doi.org/10.1016/j.jmva.2004.02.012.
Dettling, Marcel, and Peter Bühlmann. “Finding Predictive Gene Groups from Microarray Data.” Journal of Multivariate Analysis, vol. 90, no. 1, 2004, pp. 106–31, https://doi.org/10.1016/j.jmva.2004.02.012.
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