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Found 5 papers, 0 papers with code
Correlation Clustering and Biclustering with Locally Bounded Errors
We consider a generalized version of the correlation clustering problem, defined as follows.
A new correlation clustering method for cancer mutation analysis
To test $C^3$, we performed a detailed analysis on TCGA breast cancer and glioblastoma data and showed that our algorithm outperforms the state-of-the-art CoMEt method in terms of discovering mutually exclusive gene modules and identifying driver genes.
Correlation Clustering with Constrained Cluster Sizes and Extended Weights Bounds
We consider the problem of correlation clustering on graphs with constraints on both the cluster sizes and the positive and negative weights of edges.
Motif and Hypergraph Correlation Clustering
Our contributions are as follows: We first introduce several variants of motif correlation clustering and then show that these clustering problems are NP-hard.
Environmental Evolutionary Graph Theory
Understanding the influence of an environment on the evolution of its resident population is a major challenge in evolutionary biology.
Populations and Evolution
