Integrated analyses involve combining data and information from multiple sources to provide a more comprehensive understanding of a research topic. This approach allows researchers to synthesize different types of data, such as genomic, proteomic, and clinical data, to gain deeper insights into complex biological processes or diseases. Integrated analyses often involve the use of advanced computational methods and technologies to merge and analyze large datasets from diverse sources. This multidisciplinary approach can help identify novel connections, patterns, and relationships that may not be apparent when analyzing data in isolation. Overall, integrated analyses are a powerful tool in modern research for generating new knowledge and advancing our understanding of complex biological systems.