Background: This paper addresses key biological problems and statistical issues in the analysis of large gene expression data sets that describe systemic temporal response cascade...
: The traditional latent class analysis (LCA) uses a mixture model with binary responses on each subject that are independent conditional on cluster membership. However, in many pr...
We present a novel level-set method for evolving open surfaces embedded in three-dimensional volumes. We adapt the method for statistical detection and segmentation of cytoarchite...
Biswajit Bose, John W. Fisher III, Bruce Fischl, O...
This paper presents a family of techniques that we call congealing for modeling image classes from data. The idea is to start with a set of images and make them appear as similar a...
In this paper we propose a method for grouping and summarizing large sets of association rules according to the items contained in each rule. We use hierarchical clustering to par...