Question:

In a microarray experiment, the typical p-value for a reliable analysis of differentially gene expression is:

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A p-value of 0.05 is commonly used to determine statistical significance in gene expression studies.
Updated On: Feb 10, 2025
  • 0.05
  • 0.1
  • 1.0
  • 1.5
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The Correct Option is A

Solution and Explanation

Step 1: Understanding p-value in Microarray Analysis 
In microarray experiments, the p-value is used to determine the statistical significance of gene expression differences. A p-value of 0.05 is typically considered the threshold for significance in most experiments. 
Step 2: Evaluating the Options 
- 0.05: Correct, this is the commonly accepted p-value threshold for determining significant differential expression. 
- 0.1: A higher threshold, used in some exploratory analyses, but not standard. 
- 1.0: Not used in significance testing; indicates no statistical difference. 
- 1.5: Not a p-value but a fold change, and not applicable here. 
Step 3: Conclusion 
A p-value of 0.05 is typically used for reliable analysis of differential gene expression in microarray experiments.

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