Deconvolution of transcriptomes and miRNomes by independent component analysis provides insights into biological processes and clinical outcomes of melanoma patients

Deconvolution of transcriptomes and miRNomes by independent component analysis provides insights into biological processes and clinical outcomes of melanoma patients

Abstract 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 st...

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Bibliographic Details
Main Authors: Petr V. Nazarov, Anke K. Wienecke-Baldacchino, Andrei Zinovyev, Urszula Czerwińska, Arnaud Muller, Dorothée Nashan, Gunnar Dittmar, Francisco Azuaje, Stephanie Kreis
Format: Article
Language:English
Published: BMC 2019-09-01
Series:BMC Medical Genomics
Subjects:
Independent component analysis
Deconvolution
Transcriptomics
Cancer
Survival analysis
Online Access:http://link.springer.com/article/10.1186/s12920-019-0578-4

Internet

http://link.springer.com/article/10.1186/s12920-019-0578-4

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