A Polynomial Time Approximation Scheme for the Closest Shared Center Problem

W Li, L Wang, W Cui - Algorithmica, 2017 - Springer
W Li, L Wang, W Cui
Algorithmica, 2017Springer
Mutation region detection is the first step of searching for a disease gene and has facilitated
the identification of several hundred human genes that can harbor mutations leading to a
disease phenotype. Recently, the closest shared center problem (CSC) was proposed as a
core to solve the mutation region detection problem when the pedigree is not given (Ma et
al. in IEEE ACM Trans Comput Biol Bioinform 9 (2): 372–384, 2012). A ratio-2 approximation
algorithm was proposed for the CSC problem in Ma et al.(IEEE ACM Trans Comput Biol …
Abstract
Mutation region detection is the first step of searching for a disease gene and has facilitated the identification of several hundred human genes that can harbor mutations leading to a disease phenotype. Recently, the closest shared center problem (CSC) was proposed as a core to solve the mutation region detection problem when the pedigree is not given (Ma et al. in IEEE ACM Trans Comput Biol Bioinform 9(2):372–384, 2012). A ratio-2 approximation algorithm was proposed for the CSC problem in Ma et al. (IEEE ACM Trans Comput Biol Bioinform 9(2):372–384, 2012). In this paper, we will design a polynomial time approximation scheme for this problem.
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