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S15 Interpretation of microarray data in cancer: a statistical viewpoint

โœ Scribed by S. Michiels


Book ID
118626095
Publisher
Elsevier Science
Year
2007
Tongue
English
Weight
46 KB
Volume
5
Category
Article
ISSN
1359-6349

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Using a measure of how differentially expressed a gene is in two biochemically/phenotypically different conditions, we can rank all genes in a microarray dataset. We have shown that the falling-off of this measure (normalized maximum likelihood in a classification model such as logistic regression)