Models and Issues in Consistent Biclustering
O. Erhun Kundakcioglu, Artyom G. Nahapetyan, Stanislav Busygin, Pãnos M. Pardalos · 2007
Biclustering is a methodology allowing simultaneous partitioning of a set of samples and their features into classes. Samples and features classified together are supposed to have a high relevance to each other which can be observed by intensity of their expressions. The notion of consistency