Background: For effective exposition of biological information, especially with regard to analysis of large-scale data types, researchers need immediate access to multiple categor...
We present a principled Bayesian framework for modeling partial memberships of data points to clusters. Unlike a standard mixture model which assumes that each data point belongs ...
Katherine A. Heller, Sinead Williamson, Zoubin Gha...
Serial analysis of gene expression (SAGE) is one of the most powerful tools for global gene expression profiling. It has led to several biological discoveries and biomedical appli...
Gene regulatory network model is the most widely used mechanism to model and predict the behavior of living organisms. Network Component Analysis (NCA) as an emerging issue for unc...
Clustering is often formulated as the maximum likelihood estimation of a mixture model that explains the data. The EM algorithm widely used to solve the resulting optimization pro...