Question

A data mining method especially for studying biological networks based on pairwise correlations between variables is:

• A. Hidden Markov model
• B. Convoluted network analysis
• C. Artificial neural networks
• D. Weighted correlation network analysis

Hint:

WGCNA is a powerful method used to study correlations between genes and their relationships in biological networks.

Answer 1

The Correct Option is D

Step 1: Understanding Weighted Correlation Network Analysis 
Weighted correlation network analysis (WGCNA) is a method used in bioinformatics to explore correlations between variables in large biological datasets, such as gene expression data. 
Step 2: Evaluating the Options 
- Hidden Markov model: Used for modeling time-series data, not specifically for biological network analysis. 
- Convoluted network analysis: Not a standard term in data mining for biological networks. 
- Artificial neural networks: Used for various data analysis tasks but not specifically for pairwise correlations in biological networks. 
- Weighted correlation network analysis: Correct, WGCNA is specifically designed for studying pairwise correlations in biological networks. 
Step 3: Conclusion 
Weighted correlation network analysis is the appropriate method for studying pairwise correlations in biological networks.