BayClone2_Simulation1_mut

This is a (S*T) data matrix for simulation 1 with S=100 and T=4 in Lee, et al (2014).
  Each element of this data matrix gives the number of reads having variant sequence among the reads mapped at locus s in sample t.


datasets

A Bayesian feature allocation model is implemented for inference on tumor heterogeneity using next-generation sequencing data. The model identifies the subclonal copy number and single nucleotide mutations at a selected set of loci and provides inference on genetic tumor variation.

Subhajit Sengupta

BayClone2

Bayesian Feature Allocation Model for Tumor Heterogeneity

BayClone2_Simulation1_mut function

A integer matrix with 100 rows and 4 columns.

BayClone2_Simulation1_mut: Number of mutated reads (n) for simulation 1 in Lee et al (2014)

Description

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References