Multi-omics strategies for biomarker discovery and application in personalized oncology
Ziming Jiang; Haoxuan Zhang; Yibo Gao; Yingli Sun · 2025 · Molecular Biomedicine
WASTE classifies this as Negative / Null Result Report · AI classification, approximate
The study found no significant effect — useful as a negative control or null benchmark for your own design.
Abstract
Multi-omics strategies, integrating genomics, transcriptomics, proteomics, and metabolomics, have revolutionized biomarker discovery and enabled novel applications in personalized oncology. Despite rapid technological developments, a comprehensive synthesis addressing integration strategies, analytical workflows, and translational applications has been lacking. This review presents a comprehensive framework of multi-omics integration, encompassing workflows, analytical techniques, and computational tools for both horizontal and vertical integration strategies, with particular emphasis on machi
Abstract by Ziming Jiang; Haoxuan Zhang; Yibo Gao; Yingli Sun, Molecular Biomedicine (2025) — licensed CC BY 4.0.
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Metadata source: OpenAlex · DOI 10.1186/s43556-025-00340-0