Novel Biclustering Methods for Re-ordering Data Matrices

摘要: Clustering of large-scale data sets is an important technique that used for analysis in a variety fields. However, number these methods are based on heuristics the identification best arrangement points. In this chapter, we present rigorous clustering iterative optimal re-ordering matrices. Distinct Mixed-integer linear programming (MILP) models have been implemented to carry out dense matrices (such as gene expression data) and sparse drug discovery toxicology). We capability wide array from systems biology, molecular toxicology.