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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Bibliographic Details
Published in:iScience
Main Authors: Wang, Zeya, Cao, Shaolong, Morris, Jeffrey S., Ahn, Jaeil, Liu, Rongjie, Tyekucheva, Svitlana, Gao, Fan, Li, Bo, Lu, Wei, Tang, Ximing, Wistuba, Ignacio I., Bowden, Michaela, Mucci, Lorelei, Loda, Massimo, Parmigiani, Giovanni, Holmes, Chris C., Wang, Wenyi
Format: Artigo
Language:Inglês
Published: Elsevier 2018
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Article
Online Access: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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