These analyses should provide insights into univariate vs. multivariate FSS and how to obtain realistic and honest misclassification error rates via cross-validation (CV). Ultimately, this research puts to test the more traditional implementations of CV and FSS and provides a solid foundation on which these topics can and should be further investigated when performing limited-sample classification using high-dimensional gene expression data.
The analyses presented should be especially useful to researchers in the fields of bioinformatics, supervised learning, and variable selection, as well as anyone interested in microarray analysis.
- Verlag: Vdm Verlag Dr. Müller
- Seitenzahl: 252
- Ausstattung/Bilder: 2008. 252 S. 220 mm
- Abmessung: 223mm x 154mm x 20mm
- Gewicht: 340g
- ISBN-13: 9783836475969
- ISBN-10: 3836475960
- Best.Nr.: 23547495