Multi-omics approaches in cancer research with applications in tumor subtyping, prognosis, and diagnosis

•Single-level data analysis produced by high-throughput technologies is limited by showing only a narrow window of cellular functions.•Data integration across different platforms, including genomics, epigenomics, transcriptomics, proteomics, and metabolomics, provides opportunities to understand cau...

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Veröffentlicht in:	Computational and structural biotechnology journal Jg. 19; S. 949 - 960
Hauptverfasser:	Menyhárt, Otília, Győrffy, Balázs
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Netherlands Elsevier B.V 01.01.2021 Research Network of Computational and Structural Biotechnology Elsevier
Schlagworte:	Biomarker biotechnology Breast cancer cost effectiveness Data integration diagnostic techniques Driver mutation genome Genomics Lung cancer metabolome Metabolomics microbiome multiomics neoplasms prognosis proteome Proteomics Review transcriptome Transcriptomics Driver mutation Metabolomics Biomarker Transcriptomics Data integration Genomics Lung cancer Proteomics Breast cancer
ISSN:	2001-0370, 2001-0370
Online-Zugang:	Volltext
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