Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 8 of 8 for “"Bicluster"”.
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Perfect Recovery in Heterogeneous Stochastic Bicluster Models
… which groups only objects based on similarity, biclustering simultaneously partitions both objects and features into subgroups, known as biclusters, based on their expression patterns. We model this as the densest k-disjoint-biclique problem, in which a weighted complete bipartite graph is …
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Bicluster-Based Identification of Gene Sets Through Multivariate Meta-Analysis (MVMA)
… in order to increase statistical strength? Biclustering has been proven to be highly effective for identifying gene sets. Compared to traditional clustering methods, biclustering recognizes a list of genes that are up- or down-regulated under a subset of the conditions, as opposed to the …
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Discovery of overlapping 1-closed biclusters
… thesis is to find overlapping pairs of 1-closed biclusters from two different but related heterogeneous relations. Our algorithm generates 1-closed biclusters by expanding closed biclusters. In the process of generating 1-closed bicluster we allow to add limited “0”s to the closed …
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Visual Analytics with Biclusters: Exploring Coordinated Relationships in Context
… a visual analytics approach that applies biclusters to support coordinated relationships exploration. Each computed bicluster aggregates individual relationships into coordinated sets. Thus, coordinated relationships can be formalized as biclusters. However, how to incorporate biclusters …
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Clustering of immune-mediated diseases using genomic data
… statistics. I conducted an extensive study of biclustering methods and found that a Bayesian biclustering method called SSLB had best performance on simulated datasets and recovered biologically relevant biclusters in a knockout mouse dataset and a sorted blood cell dataset. Through the study I …
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Pattern extraction and clustering for high-dimensional discrete data
… transaction data mining, recommender systems, bicluster discovery in gene expression data, social network mining, and image representation.
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Enhanced Recommender Systems by Biclustering
… recommender systems, called BiRDS (meaning Biclustering Recommendation Systems) and develop three different modeling approaches under the new framework: iBiRDS (imputation BiRDS), rBiRDS (regularization BiRDS), lBiRDS (logistic BiRDS). All the three methods utilize biclustering to …
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Probabilistic Modeling of Multi-relational and Multivariate Discrete Data
… patterns as dense and well-connected chains of biclusters over multiple relations, and model the discrete data by the maximum entropy principle, such that in a statistically well-founded way we can gauge the surprisingness of a discovered bicluster chain with respect to what we already know. We …