3 papers
stat.ME2026
Nested Atoms Model with Application to Clustering Big Population-Scale Single-Cell Data
Arhit Chakrabarti, Yang Ni, Yuchao Jiang +1
We consider the problem of clustering nested or hierarchical data, where observations are grouped and there are both group-level and observation-level variables. In our motivating…
stat.ME2025
Global-Local Dirichlet Processes for Identifying Pan-Cancer Subpopulations Using Both Shared and Cancer-Specific Data
Arhit Chakrabarti, Yang Ni, Debdeep Pati +1
We consider the problem of clustering grouped data for which the observations may include group-specific variables in addition to the variables that are shared across groups. This…
stat.AP2023
Bayesian Flexible Modelling of Spatially Resolved Transcriptomic Data
Arhit Chakrabarti, Yang Ni, Bani K. Mallick
Single-cell RNA-sequencing technologies may provide valuable insights to the understanding of the composition of different cell types and their functions within a tissue. Recent te…