BayClone2_Simulation1_tot


This is a (S*T) data matrix for simulation 1 with S=100 and T=4 in Lee, et al.  Each element of this data matrix gives the total number of 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_tot function

A integer matrix with 100 rows and 4 columns.

BayClone2_Simulation1_tot: Total number of reads (N) for simulation 1 in Lee et al (2014)

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