Abstract
Cross-platform data integration is a key approach in bioinformatics that combines data from various high-throughput technologies to provide a more comprehensive view of biological processes. With the increasing availability of diverse omics data, including genomics, transcriptomics, proteomics, and metabolomics, the integration of these datasets is essential for understanding complex biological systems. This article explores the challenges and strategies involved in cross-platform data integration, focusing on the bioinformatics tools and algorithms used to harmonize, analyze, and interpret multi-omics data in a unified framework. We also discuss the potential applications of cross-platform data integration in disease research, personalized medicine, and systems biology..
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