Quantification of tumour evolution and heterogeneity via Bayesian epiallele detection.

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Quantification of tumour evolution and heterogeneity via Bayesian epiallele detection.

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2017 nî lūn-bûn

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2017年学术文章

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Quantification of tumour evolution and heterogeneity via Bayesian epiallele detection.

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Quantification of tumour evolution and heterogeneity via Bayesian epiallele detection.

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Quantification of tumour evolution and heterogeneity via Bayesian epiallele detection.

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P1476

Quantification of tumour evolution and heterogeneity via Bayesian epiallele detection

@en

P2093

Gareth A Wilson

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Stephan Beck

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P2860

Inherited epigenetic variation--revisiting soft inheritance

APE: Analyses of Phylogenetics and Evolution in R language

DNA methylation landscapes: provocative insights from epigenomics

Estimation of the methylation pattern distribution from deep sequencing data.

Preparation of reduced representation bisulfite sequencing libraries for genome-scale DNA methylation profiling.

MethylPurify: tumor purity deconvolution and differential methylation detection from single tumor DNA methylomes

Dynamic evolution of clonal epialleles revealed by methclone.

Locally disordered methylation forms the basis of intratumor methylome variation in chronic lymphocytic leukemia.

Predicting protein functions using incomplete hierarchical labels.

Nonparametric Bayesian clustering to detect bipolar methylated genomic loci.

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s12859-017-1753-2

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scholarly article

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10.1186/S12859-017-1753-2

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2017-07-25T00:00:00Z

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1090891438

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28743252

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1702.00633

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5526259

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