Molecules and Cells

Indexed in /covered by CAS, KoreaScience & DOI/Crossref:eISSN 0219-1032   pISSN 1016-8478

Fig. 1.

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Fig. 1. Overview of multi-omics approaches in cancer research. The integration of omics datasets is a crucial step in multi-omics studies. Datasets such as somatic mutations, CNV, gene expression, methylation, and proteome datasets are merged using various computational frameworks with distinct methods. The integration enables the comparison of molecular features across multiple viewpoints and the clustering of patients with relevant clinical features. Possible outcomes include enhanced identification of clinical subtypes, understanding of cancer pathophysiology, prediction of potential drug targets, and clinical decision support.
Mol. Cells 2021;44:433~443
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