98. Clustering in a gene expression analysis via microarray experiment refers to
1. cluster of probes used to monitor gene expression
2. cluster of cDNAs printed on the array
3. genes clustered together in the genome
4. a set of genes that are likely to work together in a given biological context

 

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Correct Answer:

4. A set of genes that are likely to work together in a given biological context

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Explanation:

In microarray experiments, clustering refers to the grouping of genes (or sometimes samples) based on similar expression patterns across different experimental conditions or time points. Here’s a breakdown of each option:

1. Cluster of probes used to monitor gene expression

❌ Incorrect – While probes are part of the technical design, clustering does not refer to how probes are arranged or grouped.

2. Cluster of cDNAs printed on the array

❌ Incorrect – This relates to the physical layout of the microarray, not the analytical process.

3. Genes clustered together in the genome

❌ Incorrect – Genomic clustering refers to physical proximity on chromosomes, which is not necessarily related to their expression behavior.

4. A set of genes that are likely to work together in a given biological context

✅ Correct – In microarray analysis, clustering algorithms (like hierarchical clustering or k-means) are used to group genes that show similar expression profiles, indicating that they may be co-regulated or functionally related in a specific biological context.

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Conclusion:

Clustering in gene expression analysis refers to grouping genes with similar expression patterns, helping identify functionally related genes or regulatory networks.

Correct Answer: 4. A set of genes that are likely to work together in a given biological context