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Deconvolution of transcriptomes and miRNomes by independent component analysis provides insights into biological processes and clinical outcomes of melanoma patients
BACKGROUND: The amount of publicly available cancer-related “omics” data is constantly growing and can potentially be used to gain insights into the tumour biology of new cancer patients, their diagnosis and suitable treatment options. However, the integration of different datasets is not straightfo...
Autores principales: | Nazarov, Petr V., Wienecke-Baldacchino, Anke K., Zinovyev, Andrei, Czerwińska, Urszula, Muller, Arnaud, Nashan, Dorothée, Dittmar, Gunnar, Azuaje, Francisco, Kreis, Stephanie |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6751789/ https://www.ncbi.nlm.nih.gov/pubmed/31533822 http://dx.doi.org/10.1186/s12920-019-0578-4 |
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