
The NP-hard Bicluster Editing Problem consists of adding and/or removing at most k edges to make a bipartite graph G=(V,E) a vertex-disjoint union of complete bipartite subgraphs. It has applications in the analysis of gene expression data. We propose the metaheuristics GRASP and VNS, and their hybridization, for the Bicluster Editing Problem, as well as a heuristic construction based on intersection neighborhood set.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 10 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
