Network-Based Approaches for Pathway Level Analysis.

Area of Science:

• Bioinformatics
• Computational Biology
• Systems Biology

Background:

• Pathway analysis is key for biological insights beyond gene expression.
• Numerous methods have been developed, with recent ones incorporating pathway topology.
• Topology-based methods aim to improve the accuracy of pathway analysis findings.

Purpose of the Study:

• To review and compare 34 topology-based pathway analysis methods.
• To assess these methods based on implementation, availability, input, graph models, and statistical approaches.
• To discuss challenges and biases in current pathway analysis methodologies.

Main Methods:

• Comparative analysis of 34 topology-based pathway analysis methods.
• Evaluation across categories: implementation, availability, input format, graph models, statistical approaches.
• Discussion of methodological and pathway representation challenges.

Main Results:

• A comprehensive comparison of 34 topology-based pathway analysis tools.
• Identification of inconsistencies in terminology, data formats, and benchmarks.
• Detection of a systematic bias in most existing pathway analysis methods.

Conclusions:

• Current topology-based pathway analysis methods have limitations and biases.
• Standardization in methodology and pathway representation is needed.
• Addressing these challenges is crucial for advancing biological discovery through pathway analysis.