We focus on the problem of finding unusually dense patterns in binary (0-1) matri- ces. This formulation is appropriate for analyzing experi- mental datasets ...

Using statistical significance as an objective function, we formulate the problem as one of finding significant dense submatrices of a large sparse matrix.

We focus on the problem of finding unusually dense patterns in binary (0-1) matri- ces. This formulation is appropriate for analyzing experi- mental datasets ...

Biclustering is an important problem that arises in di- verse applications, including analysis of gene expression and drug interaction data.

This work formalizes the notion of an "unusually" dense submatrix to evaluate the interestingness of a pattern in terms of statistical significance based on ...

Mar 11, 2015 · Biclustering is an important problem that arises in diverse applications, including analysis of gene expression and drug interaction data.

Using statistical significance as an objective function, we formulate the problem as one of finding significant dense submatrices of a large sparse matrix.

Using statistical significance as an objective function, we formulate the problem as one of finding significant dense submatrices of a large sparse matrix.

This work formalizes the notion of an ”unusually” dense submatrix to evaluate the interestingness of a pattern in terms of statistical significance based on ...

Biclustering is an important problem that arises in diverse applications, including analysis of gene expression and drug interaction data.