Network flows: theory, algorithms, and applications
Network flows: theory, algorithms, and applications
Discovering local structure in gene expression data: the order-preserving submatrix problem
Proceedings of the sixth annual international conference on Computational biology
Computers and Intractability: A Guide to the Theory of NP-Completeness
Computers and Intractability: A Guide to the Theory of NP-Completeness
Biclustering of Expression Data
Proceedings of the Eighth International Conference on Intelligent Systems for Molecular Biology
Biclustering Algorithms for Biological Data Analysis: A Survey
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
Optimal Solutions for the Closest-String Problem via Integer Programming
INFORMS Journal on Computing
Journal of Global Optimization
Computers and Operations Research
On mining micro-array data by Order-Preserving Submatrix
International Journal of Bioinformatics Research and Applications
Parameterized Complexity
Mining order-preserving submatrices from probabilistic matrices
ACM Transactions on Database Systems (TODS)
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In this paper we consider the order-preserving submatrix (OPSM) problem. This problem is known to be NP-hard. Although in recent years some heuristic methods have been presented to find OPSMs, they lack the guarantee of optimality. We present exact solution approaches based on linear mixed 0--1 programming formulations and develop algorithmic enhancements to aid in solvability. Encouraging computational results are reported both for synthetic and real biological data. In addition, we discuss theoretical computational complexity issues related to finding fixed patterns in matrices.