37 citations · 73 across the 3 of their papers we have counts for
3 papers
stat.AP2015★ 31 cited
A Bayesian feature allocation model for tumor heterogeneity
Juhee Lee, Peter Müller, Kamalakar Gulukota +1
We develop a feature allocation model for inference on genetic tumor variation using next-generation sequencing data. Specifically, we record single nucleotide variants (SNVs) base…
stat.ME2014★ 5 cited
Bayesian Inference for Tumor Subclones Accounting for Sequencing and Structural Variants
Juhee Lee, Peter Mueller, Subhajit Sengupta +2
Tumor samples are heterogeneous. They consist of different subclones that are characterized by differences in DNA nucleotide sequences and copy numbers on multiple loci. Heterogene…
stat.ME2014★ 37 cited
MAD Bayes for Tumor Heterogeneity Feature Allocation with Non-Normal Sampling
Yanxun Xu, Peter Mueller, Yuan Yuan +2
We propose small-variance asymptotic approximations for the inference of tumor heterogeneity (TH) using next-generation sequencing data. Understanding TH is an important and open r…