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Most clustering algorithms assume that all dimensions of the data can be described by a single structure. Cross-clustering (or multiview clustering) allows multiple structures, each applying to a subset of the dimensions. We present a novel approach to crossclustering, based on approximating the solution to a Cross Dirichlet Process mixture (CDPM) model(More)
Phylogenomic analysis of large sets of molecular characters, primarily DNA and proteins, provides great opportunities to estimate and understand important evolutionary processes. However, molecular phylogenies inferred from individual loci often differ. This incongruence among phylogenies can be the result of systematic error, but can also be the result of(More)
Motivation The identification of protein function and the prediction of ligand-target interaction is an active research field that is facilitated by means of categorizing ligands and proteins into biologically sensible groups. Because of the pharmacological fact that related drugs can bind to receptors without obvious sequence or structural similarity, it(More)
Relational databases provide unprecedented opportunities for knowledge discovery. Various approaches have been proposed to infer structures over entity types and predict relationships among elements of these types. However, discovering structures beyond the entity type level, e.g. clustering over relation concepts, remains a challenging task. We present a(More)
Astronauts participating in long duration space missions are likely to be exposed to ionizing radiation associated with highly energetic and charged heavy particles. Previously proposed gene biomarkers for radiation exposure include phosphorylated H2A Histone Family, Member X (γH2AX), Tumor Protein 53 (TP53), and Cyclin-Dependent Kinase Inhibitor 1A(More)
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