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.
Results
Showing 1 to 9 of 9 for “"consensus clustering"”.
-
Large-scale consensus clustering and data ownership considerations for medical applications
… within large amounts of data, otherwise known as clustering. We believe this technique would prove particularly useful in identifying patient states, segregating cohorts of patients and hypothesis generation. Specifically, we scale a popular clustering algorithm, Expectation-Maximization (EM) for …
-
NCIS: a network-assisted co-clustering algorithm to discover cancer subtypes based on gene expression
… In this thesis, we introduce a new co-clustering algorithm for cancer subtype identification, which combines the information of gene networks to simultaneously group samples and genes into biologically meaningful clusters. We call our method network-assisted co-clustering for the …
-
Scalable algorithms for correlation clustering on large graphs
Correlation clustering (CC) is a widely-used clustering paradigm, where objects are represented as graph nodes and clustering is performed based on relationships between objects (positive or negative edges between pairs of nodes). The CC objective is to obtain a graph clustering that minimizes the …
-
Bayesian modelling and sampling strategies for ordering and clustering problems with a focus on next-generation sequencing data
… thesis presents novel methods for ordering and clustering problems. The first two parts focus on the development of models and sampling strategies specifically tailored for next-generation sequencing data. Most high-throughput measurements for single-cell data are destructive, resulting in the …
-
Parameterized Algorithmics for Network Analysis
… von Cluster Editing und des verwandten Consensus Clustering-Problems untersucht. Das Querying von Netzwerken ist die Aufgabe, für ein gegebenes kleines Netzwerk (die Query) ein möglichst ähnliches Teilnetzwerk innerhalb eines großen Netzwerks (des Hosts) zu suchen. Dieses ähnliche …
-
Non-Coding Rnas Identify The Intrinsic Molecular Subtypes of Muscle-Invasive Bladder Cancer
… expression data that was used for unsupervised consensus clustering. Surprisingly, unsupervised analyses of the lncRNA expression data revealed two distinct clusters that exhibited more than 90% concordance with the subtype classifications made using mRNA expression data.</p> <p>Taken together, …
-
Improved profiling and classification of the breast cancer transcriptome
… of a robust, two-step unsupervised clustering and molecular profiling pipeline was implemented on two of the largest gene expression datasets. METABRIC Bead Array Discovery (n=997) and Validation (n=989) data was optimally batch corrected using a novel approach that preserves vital …
-
Bayesian model-based clustering of multi-source data
… taken on sets of items. I develop and explore a consensus clustering approach to navigate the problem of poor mixing, which refers to a failure of Markov chain Monte Carlo methods wherein the sampler becomes trapped in local high posterior density modes. This problem is commonly encountered when …
-
Community Structure Detection in Complex Biological Networks
… structure in dynamic networks is explored. Consensus clustering is tackled; de_ned as detecting a single partition of a dynamic network that is relevant across multiple snapshots. This is addressed by extending the previously proposed MIQP and MINLP models such that average modularity across …