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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Detalles Bibliográficos
Autores principales: Dimitrakopoulou, Konstantina, Wik, Elisabeth, Akslen, Lars A., Jonassen, Inge
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6223087/
https://www.ncbi.nlm.nih.gov/pubmed/30404611
http://dx.doi.org/10.1186/s12859-018-2442-5

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6223087/
https://www.ncbi.nlm.nih.gov/pubmed/30404611
http://dx.doi.org/10.1186/s12859-018-2442-5

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