Description: Pathway analysis is a fundamental method in bioinformatics used to identify and analyze biological pathways that are significantly altered in a dataset. These biological pathways are sets of molecular interactions that perform specific functions within a cell, such as cellular signaling, metabolism, or cell cycle regulation. By applying pathway analysis techniques, researchers can uncover patterns in genomic, transcriptomic, or proteomic data, allowing for a better understanding of the molecular bases of various diseases and biological conditions. This approach not only helps identify potential biomarkers for diagnosis and treatment but also provides insights into the interactions between different biological components. The relevance of pathway analysis lies in its ability to integrate complex, multidimensional data, facilitating the interpretation of underlying biology and the identification of therapeutic targets. Additionally, pathway analysis can be complemented with visualization tools that enable researchers to explore the relationships between genes, proteins, and metabolites in an intuitive manner, which is crucial for advancing personalized medicine and systems biology.
