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This approach allowed us to identify differentially expressed genes with a common trend in expression among the cell lines compared.
Comparison of buds and seeds (i.e., '2d-growth to Endo' vs. '21d C + 2d A to 1d C') identified 6 common differentially-expressed genes (Table 3), of which 3 had the same trend in expression.
Further, liver tissue showed an increasing trend in expression profile from 6 to 48 hpi.
RESULTS: Seven surface kinases, ALK, EPHA5, EPHB1, ERBB4, INSRR, PTK, and TGFβR1 displayed a distinctive linear trend in expression from normal, highrisk, and malignant epithelium.
An opposite trend in expression was observed in the large artery (LA) stroke samples.
In contrast, the nuclear and mitochondrially-encoded mitochondrial genes both show an increasing trend in expression level across development.
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Several of the 52 genes found highly expressed in at least two tumor datasets showed consistent trends in expression within tumor subtypes.
Further research is needed to understand the observed trends in expression and to unravel the function and regulation patterns of this novel protein.
The analysis showed the same trends in expression for the majority of the genes with microarray or QPCR observations (Table 2), with slight changes in the magnitude of the effects.
Another approach could be to cluster genes based on similar trends in expression data across several experiments, and then try to train our parameters based on this set of genes.
The trends in expression predicted by simulation match with the experimental trends in normalized CFU.
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