output
20142025
most citedSubgroup-Based Adaptive (SUBA) Designs for Multi-Arm Biomarker Trials

42 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

collaborating institutions
Showing stat.APShow all

5 papers · 1 filter

stat.AP2018★ 4 cited

Bayesian Double Feature Allocation for Phenotyping with Electronic Health Records

Yang Ni, Peter Mueller, Yuan Ji

We propose a categorical matrix factorization method to infer latent diseases from electronic health records (EHR) data in an unsupervised manner. A latent disease is defined as an…

stat.AP2017★ 1 cited

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…

stat.AP2017★ 8 cited

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…

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.AP2014★ 42 cited

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,…