Transcriptome Deconvolution of Heterogeneous Tumor Samples with Immune Infiltration

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
Main Authors:	Wang, Z, Cao, S, Morris, J, Ahn, J, Liu, R, Tyekucheva, S, Gao, F, Li, B, Lu, W, Tang, X, Wistuba, I, Bowden, M, Mucci, L, Loda, M, Parmigiani, G, Holmes, C, Wang, W
Format:	Journal article
Language:	English
Published:	Elsevier 2018

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