Clustering data with both continuous and discrete attributes is a challenging task. Existing methods often lack a principled probabilistic formulation. In this paper, we propose a clustering method based on a tree-structured graphical model to describe the generation process of mixed-type data. Our tree-structured model factorizes into a product of pairwise interactions, and thus localizes the ...

Homology identification is the first step for many genomic studies. Current methods, based on sequence comparison, can result in a substantial number of mis-assignments due to the alignment of homologous domains in otherwise unrelated sequences. Here we propose methods to detect homologs through explicit comparison of domain architecture. We developed several schemes for scoring the similarity ...

Mathematical models are widely used to replicate natural phenomena. They represent the growing universe, as well as the spreading of diseases. By concentrating on the essentials of these systems, mathematical models are perfectly suited to study system behavior under altered conditions. Defining a model for a given system is a challenging task and is commonly an advancing process, where current...