Recent advances in acquiring large-scale high-throughput multi-omics data across multiple biological layers have provided us unprecedented opportunities to gain new insights into the intricate molecular landscapes of human health and disease. This Collection is aimed at showcasing cutting-edge research that harnesses the power of multi-omics data integration to drive advancements in precision medicine. The Collection will feature peer-reviewed papers focusing on the development, evaluation, and application of innovative approaches that bridge genomics, transcriptomics, proteomics, metabolomics, and other omics domains, ultimately paving the way for a deeper understanding of disease mechanisms and the development of personalized therapeutic strategies.
We encourage submissions that delve into the challenges and opportunities posed by multi-omics data integration, including but not limited to:
• Novel computational methodologies
• Integrative frameworks
• Data fusion techniques
• Network analyses
• Machine learning approaches
Specific biomedical and clinical topics of interest include, but are not limited to:
• Diagnosis and prognosis
• Biomarker discovery
• Disease subtyping and patient stratification
• Systems biology and disease mechanisms
• Therapeutic development and drug repurposing
By fostering collaboration between diverse scientific disciplines, this Collection seeks to unravel the complex interplay of molecular factors driving health and disease, and how this knowledge can be translated into more effective, precise, and personalized patient care.