Mixture models, such as Gaussian Mixture Model, have been widely used in many applications for modeling data. Gaussian mixture model (GMM) assumes that data points are generated fr...
Background: While microarrays are the predominant method for gene expression profiling, probe signal variation is still an area of active research. Probe signal is sequence depend...
Background: Serial analysis of gene expression (SAGE) is used to obtain quantitative snapshots of the transcriptome. These profiles are count-based and are assumed to follow a Bin...
Ocean circulation plays an important role in global climate change. In an effort to monitor ocean circulation an infrastructure of more than 3,000 buoys have been deployed in the ...
Abstract. Normal mixture models are often used to cluster continuous data. However, conventional approaches for fitting these models will have problems in producing nonsingular es...