Transcriptome Deconvolution of Heterogeneous Tumor Samples with Immune Infiltration

Transcriptome Deconvolution of Heterogeneous Tumor Samples with Immune Infiltration

Summary: 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 fro...

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Bibliographic Details
Main Authors: Zeya Wang, Shaolong Cao, Jeffrey S. Morris, Jaeil Ahn, Rongjie Liu, Svitlana Tyekucheva, Fan Gao, Bo Li, Wei Lu, Ximing Tang, Ignacio I. Wistuba, Michaela Bowden, Lorelei Mucci, Massimo Loda, Giovanni Parmigiani, Chris C. Holmes, Wenyi Wang
Format: Article
Language:English
Published: Elsevier 2018-11-01
Series:iScience
Online Access:http://www.sciencedirect.com/science/article/pii/S2589004218301871

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http://www.sciencedirect.com/science/article/pii/S2589004218301871

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