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This approach will not infer spurious relationships between co-regulated genes, which is instead a well-known problem of algorithms based on expression similarity (e.g. correlation) [7].
The co-training method outperforms previous methods based on expression similarity alone.
Similarly, the intersected genes between Pima developmentally regulated, TM1 developmentally regulated, and the top discriminating genes developed by double feature selection were clustered based on expression similarity.
Because we clustered the samples based on expression similarity (and difference) among the putative feature genes, the samples within a cluster were expected to be more similar in transcriptional activities than those in different clusters.
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Based on expression patterns and phenotypic similarities with epithelial Fgfr1 conditional gene inactivation, FGFR1 was identified as the epithelial target receptor (Pirvola et al., 2002; Huh et al., 2012).
We developed a computational approach to measure human disease similarity based on expression data.
GESTs, a prediction approach previously proposed by us, is based on gene expression similarity and taxonomy similarity of the functional classes.
Based on gene expression similarity clustering different subgroups can be identified, corresponding to the manually compiled ones in Figure 7.
As the membership cut-off decreases, additional genes were assigned to the cluster based on their expression similarity on a subset of experimental conditions.
The performance of the classifier based on gene expression similarity, as determined by area under ROC graph, improved from 0.81 in the previous work to 0.87 in this study.
The best single feature classifier is that based on gene expression similarity with an AUC of 0.87, which is better than the intergenic distance-based classifier (p-value = 2.8 × 10-2, paired t-test).
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