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...
| Auteurs principaux: | , , , , , , , , , , , , , , , , |
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| Format: | Journal article |
| Langue: | English |
| Publié: |
Elsevier
2018
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