Article

Transcriptome Deconvolution of Heterogeneous Tumor Samples with Immune Infiltration

2017-06-08

Abstract excerpt

Transcriptomic 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 mixtures of more than two components. DeMixT implements an iterated conditional mode algorithm and a novel gene-set-base...

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Literature Corpus work: 023e8464-6451-54f6-a06d-d4a7bc5ab62f
DOI: 10.1101/146795

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