… proportion of enriched biclusters on real data sets. Adetayo … level, to pathway/module level,
and even global networks. … heterogeneous experimental data, and then built a module graph, …

… implementation which performs inference on all parameters. … the rest grouped into a more
heterogeneous cluster we called ‘… tumors from TCGA, genome-wide analysis therefore may …

… information from heterogeneous multi-modal data. … real data analysis that integrated SNP
and gene expression … to AD based on existing genome-wide association studies (GWAS) of AD …

… expression datasets associated with heterogeneous diseases. … by other biclustering methods,
would enable a comprehensive … Cluster analysis and display of genome-wide expression …

… to highlight the tremendous heterogeneity in alterations within … of samples are called
genome-wide techniques. In particular, … Over the last decade and a half, comprehensive …

… discovery and regulatory network inference but they are also … its data type integration
capabilities through biclustering yeast … Singular value decomposition for genome-wide expression …

… tools on datasets in which implanted biclusters have their … globally optimizes the solutions
in each iteration. To our best knowledge, RecBic is the first to identify a bicluster with a global …

… ARBic achieves this goal by integrating our earlier RecBic … thus could help infer underlying
gene regulatory networks. … first to iteratively identify a bicluster with a global optimum in each …

… the influence of unaccounted heterogeneity on performance … Therefore, to get a more
comprehensive method performance … Non-deterministic methods were executed five times to infer …

… one of the most comprehensive and frequently updated gene … all biclusters found by each
method in TCGA-BRCA datasets … We applied DESMOND to synthetic and real-world datasets …