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The collective expression signature of a group of 150 genes was highly correlated with tissue instability, although no single gene expression pattern was absolutely predictive of instability.
Typically, a single gene expression pattern generated at the start of the simulation is used for all individuals as the birth state.
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In order to generate statistically robust results (independent of data and prediction errors) we did not analyze single gene expression patterns but argue on groups of correlated genes.
The investigation of single gene expression patterns as determined by RNA blotting or quantitative reverse transcriptase PCR have been used to understand how different temporal, developmental, and physiological processes affect gene expression.
For each host gene cluster and each single host gene, expression patterns were compared to the expression of predicted targets.
More importantly, this gene expression profile was preserved in response to oxidative stress in co-cultured CMs while single cultured CMs showed a significantly different gene expression pattern under stress, suggesting a stabilizing effect of iECs on CMs under oxidative stress conditions.
For a detailed comparison of the gene expression pattern of a single gene, we choose the estrogen receptor (ESR1) due to its known clinical importance and the availability of immunohistochemical (IHC) ER expression data for the vast majority of the samples (231 out of 243).
Although not focused on aging, a novel resource of nonhuman primate oocytes and preimplantation embryos has already been established which might facilitate gene expression pattern analysis in single cell types [ 31, 43].
Drosophila gene expression pattern stage categorization is a single-label multi-class problem.
The gene expression pattern of a set of user selected genes across single or multiple experiments in an organism can also be visualized as a heat map.
A single gene can be regulated by multiple enhancers, each directing a portion of the overall gene expression pattern in space and time.
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