TY - JOUR
T1 - Non-unique probe selection and group testing
AU - Wang, Feng
AU - David Du, Hongwei
AU - Jia, Xiaohua
AU - Deng, Ping
AU - Wu, Weili
AU - MacCallum, David
PY - 2007/8/22
Y1 - 2007/8/22
N2 - A 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. © 2007 Elsevier Ltd. All rights reserved.
AB - A 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. © 2007 Elsevier Ltd. All rights reserved.
KW - d-disjoint matrix
KW - Group testing
KW - over(d, ̄)-separable matrix
KW - Vertex cover
UR - http://www.scopus.com/inward/record.url?scp=34547213388&partnerID=8YFLogxK
UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-34547213388&origin=recordpage
U2 - 10.1016/j.tcs.2007.02.067
DO - 10.1016/j.tcs.2007.02.067
M3 - RGC 21 - Publication in refereed journal
SN - 0304-3975
VL - 381
SP - 29
EP - 32
JO - Theoretical Computer Science
JF - Theoretical Computer Science
IS - 1-3
ER -