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- URN to cite this document:
- urn:nbn:de:bvb:355-epub-335539
- DOI to cite this document:
- 10.5283/epub.33553
Abstract
Background In a previous publication we introduced a novel approach to identify genes that hold predictive information about treatment outcome. A linear regression model was fitted by using the least angle regression algorithm (LARS) with the expression profiles of a construction set of 18 glioma progenitor cells enhanced for brain tumor initiating cells (BTIC) before and after in vitro treatment ...

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