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Transcriptome Deconvolution of Heterogeneous Tumor Samples with Immune Infiltration
Transcriptome deconvolution in cancer and other heterogeneous tissues remains challenging. Available methods lack the ability to estimate both component-specific proportions and expression profiles for individual samples. We present DeMixT, a new tool to deconvolve high-dimensional data from mixture...
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| Udgivet i: | iScience |
|---|---|
| Main Authors: | , , , , , , , , , , , , , , , , |
| Format: | Artigo |
| Sprog: | Inglês |
| Udgivet: |
Elsevier
2018
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| Fag: | |
| Online adgang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6249353/ https://ncbi.nlm.nih.gov/pubmed/30469014 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.isci.2018.10.028 |
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