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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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| Vydáno v: | BMC Bioinformatics |
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| Hlavní autoři: | , , , |
| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
BioMed Central
2018
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| Témata: | |
| On-line přístup: | 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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