Correlation analysis is a statistical method used to measure the strength and direction of the relationship between two variables. This method helps identify whether an increase in one variable corresponds with an increase or decrease in another variable, providing insights into potential associations. In the context of gene co-expression networks, correlation analysis is crucial for understanding how genes interact and influence each other's expression levels.
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