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

While cost-effective high-throughput technologies provide an increasing amount of data, the analyses of single layers of data seldom provide causal relations. Multi-omics data integration strategies across different cellular function levels, including genomes, epigenomes, transcriptomes, proteomes,...

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Detalles Bibliográficos
Autores principales: Menyhárt, Otília, Győrffy, Balázs
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Research Network of Computational and Structural Biotechnology 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7868685/
https://www.ncbi.nlm.nih.gov/pubmed/33613862
http://dx.doi.org/10.1016/j.csbj.2021.01.009