Supervised group Lasso with applications to microarray data analysis
Open Access
- 22 February 2007
- journal article
- Published by Springer Nature in BMC Bioinformatics
- Vol. 8 (1) , 60
- https://doi.org/10.1186/1471-2105-8-60
Abstract
A tremendous amount of efforts have been devoted to identifying genes for diagnosis and prognosis of diseases using microarray gene expression data. It has been demonstrated that gene expression data have cluster structure, where the clusters consist of co-regulated genes which tend to have coordinated functions. However, most available statistical methods for gene selection do not take into consideration the cluster structure.Keywords
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