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.
|Author||Juhee Lee, Peter Mueller, Subhajit Sengupta, Kamalakar Gulukota, Yuan Ji|
|Date of publication||2014-12-24 06:08:04|
|Maintainer||Subhajit Sengupta <email@example.com>|
|License||GPL-3 | file LICENSE|
BayClone2: BayClone2 function
BayClone2_Simulation1_mut: Number of mutated reads (n) for simulation 1 in Lee et al...
BayClone2_Simulation1_tot: Total number of reads (N) for simulation 1 in Lee et al...
export_N_n: export_N_n function
fn_post_C: fn_post_C function
fn_posterior_point: fn_posterior_point function
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