A Comprehensive Protocol and Step-by-Step Guide for Multi-Omics Integration in Biological Research

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This comprehensive guide outlines multi-omics data integration methods, highlighting tools and implications for biological research.

Multi-omics integration improves prediction accuracy and yields robust results, enhancing our understanding of biological systems.
The primary aim is to present a detailed protocol, focusing on methods and tools for effective data integration.
Methods detailed include concatenation-based, transformation-based, and model-based approaches, each with its pros and cons.
Machine learning techniques enable uncovering hidden patterns in multi-omics datasets, suggesting new avenues for research.

Adam et al. (2025) studied this question.

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