AbstractA minimization problem that has arisen from the study of non-unique probe selection with group testing technique is as follows: Given a binary matrix, find a d-disjunct submatrix with the minimum number of rows and the same number of columns. We show that when every probe hybridizes to at most two viruses, i.e., every row contains at most two 1s, this minimization is still MAX SNP-complete, but has a polynomial-time approximation with performance ratio 1+2/(d+1). This approximation is constructed based on an interesting result that the above minimization is polynomial-time solvable when every probe hybridizes to exactly two viruses
Two variants of the well known group testing problem are considered. In the first variant a finite s...
Group testing (GT) was originally proposed during the World War II in an attempt to minimize the \em...
Abstract. The combinatorial group testing problem is, assuming the existence of up to d defectives a...
Aminimization problem that has arisen from the study of non-unique probe selection with group testin...
AbstractWe investigate the computational complexity of some basic problems regarding non-unique prob...
Motivation: Besides their prevalent use for analyzing gene expression, microarrays are an efficient ...
Motivation: Besides their prevalent use for analyzing gene expression, microarrays are an efficient ...
In addition to their prevalent use for analyzing gene expression, DNA microarrays are an efficient t...
AbstractIn addition to their prevalent use for analyzing gene expression, DNA microarrays are an eff...
Group testing refers to the situation in which one is given a set of objects O, an unknown subset P ...
Group testing is the problem to identify up to d defectives out of n elements, by testing subsets fo...
Group testing is the problem to identify up to d defectives out of n elements, by testing subsets fo...
The classical and well-studied group testing problem is to find d defectives in a set of n elements ...
Group testing is a well known search problem that consists in detecting the defective members of a s...
We consider the following constrained version of the classical Group Testing problem: Given a finite...
Two variants of the well known group testing problem are considered. In the first variant a finite s...
Group testing (GT) was originally proposed during the World War II in an attempt to minimize the \em...
Abstract. The combinatorial group testing problem is, assuming the existence of up to d defectives a...
Aminimization problem that has arisen from the study of non-unique probe selection with group testin...
AbstractWe investigate the computational complexity of some basic problems regarding non-unique prob...
Motivation: Besides their prevalent use for analyzing gene expression, microarrays are an efficient ...
Motivation: Besides their prevalent use for analyzing gene expression, microarrays are an efficient ...
In addition to their prevalent use for analyzing gene expression, DNA microarrays are an efficient t...
AbstractIn addition to their prevalent use for analyzing gene expression, DNA microarrays are an eff...
Group testing refers to the situation in which one is given a set of objects O, an unknown subset P ...
Group testing is the problem to identify up to d defectives out of n elements, by testing subsets fo...
Group testing is the problem to identify up to d defectives out of n elements, by testing subsets fo...
The classical and well-studied group testing problem is to find d defectives in a set of n elements ...
Group testing is a well known search problem that consists in detecting the defective members of a s...
We consider the following constrained version of the classical Group Testing problem: Given a finite...
Two variants of the well known group testing problem are considered. In the first variant a finite s...
Group testing (GT) was originally proposed during the World War II in an attempt to minimize the \em...
Abstract. The combinatorial group testing problem is, assuming the existence of up to d defectives a...