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논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2021.1
- 수록면
- 433 - 443 (11page)
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Multi-omics approaches are novel frameworks that integrate multiple omics datasets generated from the same patients to better understand the molecular and clinical features of cancers. A wide range of emerging omics and multiview clustering algorithms now provide unprecedented opportunities to further classify cancers into subtypes, improve the survival prediction and therapeutic outcome of these subtypes, and understand key pathophysiological processes through different molecular layers. In this review, we overview the concept and rationale of multi-omics approaches in cancer research. We also introduce recent advances in the development of multi-omics algorithms and integration methods for multiple-layered datasets from cancer patients. Finally, we summarize the latest findings from large-scale multi-omics studies of various cancers and their implications for patient subtyping and drug development.
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참고문헌 (3)
참고문헌 신청
홍성현 / 2020 / Mechanisms of Macromolecular Interactions Mediated by Protein Intrinsic Disorder / Molecules and Cells 43(11):899~908
박종은 / 2021 / Single-Cell Toolkits Opening a New Era for Cell Engineering / Molecules and Cells 44(3):127~135
Joji Marie Teves / 2020 / Mapping Cellular Coordinates through Advances in Spatial Transcriptomics Technology / Molecules and Cells 43(7):591~599
박종은 / 2021 / Single-Cell Toolkits Opening a New Era for Cell Engineering / Molecules and Cells 44(3):127~135
Joji Marie Teves / 2020 / Mapping Cellular Coordinates through Advances in Spatial Transcriptomics Technology / Molecules and Cells 43(7):591~599
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