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作者机构:Univ Illinois Dept Comp Sci MC 152 Chicago IL 60607 USA Penn State Univ Dept Comp Sci & Engn University Pk PA 16802 USA Rutgers State Univ Dept Math New Brunswick NJ 08903 USA
出 版 物:《REVERSE ENGINEERING BIOLOGICAL NETWORKS: OPPORTUNITIES AND CHALLENGES IN COMPUTATIONAL METHODS FOR PATHWAY INFERENCE》 (纽约科学院纪事)
年 卷 期:2007年第1115卷第1期
页 面:132-141页
核心收录:
学科分类:0710[理学-生物学] 07[理学] 08[工学]
主 题:reverse engineering biological networks set multicover randomized approximation algorithms
摘 要:This paper studies a computational problem motivated by the modular response analysis method for reverse engineering of protein and gene networks. This set-cover problem is hard to solve exactly for large networks, but efficient approximation algorithms are given and their complexity is analyzed.