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 14 of 14 for “"biclusters"”.
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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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Solving Intelligence Analysis Problems using Biclusters
… in one seamless environment. The combination of biclusters and visual data glyphs in a visual analytics spatial environment enables a novel type of filtering. This design allows for rapid exploration and navigation across connected documents. Through a user study we conclude that our system has …
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Mining Truth Tables and Straddling Biclusters in Binary Datasets
… also introduce new methods of mining straddling biclusters. Biclusters relate subsets of objects to subsets of properties they share within a single dataset. Straddling biclusters extend biclusters by relating a subset of objects to subsets of properties they share in two datasets. We present two …
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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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Identification of Differentially Expressed Gene Modules in Heterogeneous Diseases
… First, it searches for differentially expressed biclusters, rather than biclusters with co-expression. Second, it performs a network-constrained search when the majority of biclustering methods are unconstrained. DESMOND and nine previously published biclustering methods have been applied to …
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Perfect Recovery in Heterogeneous Stochastic Bicluster Models
… 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 partitioned into k disjoint subgraphs to maximize the sum of their densities. In our first …
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Bicluster-Based Identification of Gene Sets Through Multivariate Meta-Analysis (MVMA)
… for the current study. Identifying individual biclusters using CCS is the task of Aim 1. Most public expression datasets have relatively small sample sizes. Making inference on these datasets may be error prone, which motivates the use of multiple datasets to increase the statistical power. …
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New Algorithms for Mining Network Datasets: Applications to Phenotype and Pathway Modeling
… In this approach, we present a new pattern class—biclusters over domains with supplied partial orders—and present algorithms for systematically detecting such biclusters. Together, our data mining algorithms provide a comprehensive arsenal of techniques for modeling gene perturbation screens and …
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Clustering of immune-mediated diseases using genomic data
… datasets and recovered biologically relevant biclusters in a knockout mouse dataset and a sorted blood cell dataset. Through the study I developed tools for processing and analysing biclustering results. I applied this knowledge to perform biclustering, with SSLB, of a sorted blood cell …
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Biclustering and Visualization of High Dimensional Data using VIsual Statistical Data Analyzer
… at least the structure of the data and how many biclusters to expect. This is where the VIsual Statistical Data Analyzer, or VISDA, can help. It is a visualization tool that successively and progressively explores the structure of the data, identifying clusters along the way. This thesis proposes …
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Enhanced Recommender Systems by Biclustering
… this research work, we propose to identify the biclusters of associated users and items through a weighted bipartite network of users' feedback and a fast community detection algorithm. Concurrent information of users and items is either imputed or integrated into the singular value …
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Automatic Reconstruction of the Building Blocks of Molecular Interaction Networks
… network legos to that of constructing closed biclusters in a binary matrix. Applying this method to a compendium of 13 stresses on human cells, we automatically detect that about four to six hours after treatment with chemicals cause endoplasmic reticulum stress, fibroblasts shut down the cell …
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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 …
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On the analysis of complex networks : fundamental limits, scalable algorithms, and applications
… and excels at resolving the overlaps between biclusters. In Chapters 9-12, we consider design challenges of systems and algorithms for engineering networks such as communication networks. In Chapters 9-10, we create a connection between compressive sensing and traditional information theoretic …