49 citations · 181 across the 10 of their papers we have counts for
6 papers · 1 filter
A Semi-parametric Bayesian Approach to Population Finding with Time-to-Event and Toxicity Data in a Randomized Clinical Trial
Satoshi Morita, Peter Müller, Hiroyasu Abe
A utility-based Bayesian population finding (BaPoFi) method was proposed by Morita and Müller (2017, Biometrics, 1355-1365) to analyze data from a randomized clinical trial with th…
TreeClone: Reconstruction of Tumor Subclone Phylogeny Based on Mutation Pairs using Next Generation Sequencing Data
Tianjian Zhou, Subhajit Sengupta, Peter Mueller +1
We present TreeClone, a latent feature allocation model to reconstruct tumor subclones subject to phylogenetic evolution that mimics tumor evolution. Similar to most current method…
PairClone: A Bayesian Subclone Caller Based on Mutation Pairs
Tianjian Zhou, Peter Mueller, Subhajit Sengupta +1
Tumor cell populations can be thought of as being composed of homogeneous cell subpopulations, with each subpopulation being characterized by overlapping sets of single nucleotide…
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…
Subgroup-Based Adaptive (SUBA) Designs for Multi-Arm Biomarker Trials
Yanxun Xu, Lorenzo Trippa, Peter Müller +1
Targeted therapies based on biomarker profiling are becoming a mainstream direction of cancer research and treatment. Depending on the expression of specific prognostic biomarkers,…
Modeling dependent gene expression
Donatello Telesca, Peter Müller, Giovanni Parmigiani +1
In this paper we propose a Bayesian approach for inference about dependence of high throughput gene expression. Our goals are to use prior knowledge about pathways to anchor infere…