On the identification of differentially expressed genes: improving the generalized F-statistics for Affymetrix microarray gene expression data
Y Lai - Computational Biology and Chemistry, 2006 - Elsevier
It has been shown that the generalized F-statistics can give satisfactory performances in
identifying differentially expressed genes with microarray data. However, for some complex
diseases, it is still possible to identify a high proportion of false positives because of the
modest differential expressions of disease related genes and the systematic noises of
microarrays. The main purpose of this study is to develop statistical methods for Affymetrix
microarray gene expression data so that the impact on false positives from non-expressed …
identifying differentially expressed genes with microarray data. However, for some complex
diseases, it is still possible to identify a high proportion of false positives because of the
modest differential expressions of disease related genes and the systematic noises of
microarrays. The main purpose of this study is to develop statistical methods for Affymetrix
microarray gene expression data so that the impact on false positives from non-expressed …
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