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BayCount: A Bayesian Decomposition Method for Inferring Tumor Heterogeneity using RNA-Seq Counts

2017-11-13

Abstract excerpt

Tumors are heterogeneous - a tumor sample usually consists of a set of subclones with distinct transcriptional profiles and potentially different degrees of aggressiveness and responses to drugs. Understanding tumor heterogeneity is therefore critical for precise cancer prognosis and treatment. In this paper, we introduce BayCount, a Bayesian decomposition method to infer tumor heterogeneity with highly over-dispe...

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Literature Corpus work
8a986807-7c84-5148-a2bd-2b98c6996bfd
DOI
10.1101/218511
Open publication

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BayCount: A Bayesian Decomposition Method for Inferring Tumor Heterogeneity using RNA-Seq CountsDOI 10.1101/218511
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