activity
20142026
most citedA Bayesian feature allocation model for tumor heterogeneity

31 citations · 38 across the 5 of their papers we have counts for

collaborators

5 papers

cs.LG2026

RBF-Solver: A Multistep Sampler for Diffusion Probabilistic Models via Radial Basis Functions

Soochul Park, Yeon Ju Lee, SeongJin Yoon +3

Diffusion probabilistic models (DPMs) are widely adopted for their outstanding generative fidelity, yet their sampling is computationally demanding. Polynomial-based multistep samp…

stat.ME2022

Bayesian Nonparametric Erlang Mixture Modeling for Survival Analysis

Yunzhe Li, Juhee Lee, Athanasios Kottas

We develop a flexible Erlang mixture model for survival analysis. The model for the survival density is built from a structured mixture of Erlang densities, mixing on the integer s…

stat.AP2020★ 2 cited

A Bayesian Feature Allocation Model for Identification of Cell Subpopulations Using Cytometry Data

Arthur Lui, Juhee Lee, Peter F. Thall +3

A Bayesian feature allocation model (FAM) is presented for identifying cell subpopulations based on multiple samples of cell surface or intracellular marker expression level data o…

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…