Sentence examples for between gene coexpression levels from inspiring English sources

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This network was used to explore the relationship between gene coexpression levels and their connectivity in the HF network.

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In human and mouse genome, for the mapped head to head gene pairs, head to tail pairs and random-generated 20000 gene pairs, the gene coexpression level were then evaluated as the Pearson correlation coefficient between expression profiles of paired genes separately.

There is a positive correlation between gene coexpression and positional clustering in the zebrafish genome.

To elucidate functional relationships between genes, coexpression analysis has proven to be a powerful approach.

More importantly, there is no difference between the coexpression level of conserved bipromoter gene pairs and new bipromoter gene pairs (0.261 ± 0.011 vs. 0.256 ± 0.178; P = 0.94, Brunner Munzel test).

3) If the conserved gene pairs generally show higher coexpression levels compared with newly formed gene pairs, then this indicates that neighbor coexpression is generally advantageous, as previously suggested (Singer et al. 2005).

Our study finds that transcript-parallel or transcript-divergent neighbouring genes have higher coexpression level than transcript-convergent genes in the zebrafish genome.

A disease-specific cutoff point for coexpression levels that classified the coexpressed gene pairs into strong and weak coexpression classes was identified.

C. elegans microarray gene expression data were used to reconstruct evolutionary gene coexpression networks connecting genes with expression levels that covary across lines (Methods).

In the context of gene coexpression networks, links between nodes typically indicate that the expression levels for two genes are strongly correlated with one another across whatever conditions an experiment entails (e.g., across tissues, time points, treatments, or individuals).

Summary: Gene coexpression analysis was developed to explore gene interconnection at the expression level from a systems perspective, and differential coexpression analysis (DCEA), which examines the change in gene expression correlation between two conditions, was accordingly designed as a complementary technique to traditional differential expression analysis (DEA).

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