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Deblender: a semi−/unsupervised multi-operational computational method for complete deconvolution of expression data from heterogeneous samples

BACKGROUND: Towards discovering robust cancer biomarkers, it is imperative to unravel the cellular heterogeneity of patient samples and comprehend the interactions between cancer cells and the various cell types in the tumor microenvironment. The first generation of ‘partial’ computational deconvolu...

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Detalhes bibliográficos
Publicado no:BMC Bioinformatics
Main Authors: Dimitrakopoulou, Konstantina, Wik, Elisabeth, Akslen, Lars A., Jonassen, Inge
Formato: Artigo
Idioma:Inglês
Publicado em: BioMed Central 2018
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC6223087/
https://ncbi.nlm.nih.gov/pubmed/30404611
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12859-018-2442-5
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