BayClone2: Bayesian Feature Allocation Model for Tumor Heterogeneity

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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 <subhajit06@gmail.com>
License
GPL-3 | file LICENSE
Version
1.1

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Man pages

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

Files in this package

BayClone2
BayClone2/src
BayClone2/src/BayClone2.cpp
BayClone2/NAMESPACE
BayClone2/data
BayClone2/data/BayClone2_Simulation1_mut.txt.gz
BayClone2/data/BayClone2_Simulation1_tot.txt.gz
BayClone2/R
BayClone2/R/fn_BayClone2.R
BayClone2/MD5
BayClone2/DESCRIPTION
BayClone2/man
BayClone2/man/BayClone2.Rd
BayClone2/man/export_N_n.Rd
BayClone2/man/BayClone2_Simulation1_tot.Rd
BayClone2/man/fn_posterior_point.Rd
BayClone2/man/BayClone2_Simulation1_mut.Rd
BayClone2/man/fn_post_C.Rd
BayClone2/LICENSE