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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Detalhes bibliográficos
Publicado no: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
Formato: Artigo
Idioma:Inglês
Publicado em: Elsevier 2018
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Article
Acesso em linha: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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