BiCross : A Biclustering Technique for Gene Expression Data Using One Layer Fixed Weighted Bipartite Graph Crossing Minimization

Biclustering has become an important data mining technique for microarray gene expression analysis and profiling, as it provides a local view of the hidden relationships in data, unlike a global view provided by conventional clustering techniques. This technique, in contrast to the conventional clustering techniques, helps in identifying a subset of the genes and a subset of the experimental conditions that together exhibit co-related pattern. In this paper, a biclustering technique using weighted crossing minimization paradigm is proposed, which can mine significant patterns by employing a local search instead of a global search of the input data matrix.

Provided by: International Journal of Computer Applications Topic: Big Data Date Added: Sep 2011 Format: PDF

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