title: [A genetic optimization designing method for microorganism detection genechip probe based on genetic algorithm].
abstract: A new automatic selection approach of microorganism specific fragment combination is presented in this paper. Genetic algorithm is used to search optimal solution on the basis of classification ability of SNP combination, which is evaluated by the rough set theory. Other related experimental parameters are also been incorporated. Experimental results show that the method can find the best SNP combination pattern efficiently and accurately, which implies that it is a reliable approach to the genechip probe design.
authors.affiliation: Beijing Institute of Radiation Medicine, Military Medical Science College, Beijing.
authors.forename: Guo-Chuan
authors.initials: GC
authors.lastname: Liu
authors.forename: Zhi-Jun
authors.initials: ZJ
authors.lastname: Bai
authors.forename: Wen-Jie
authors.initials: WJ
authors.lastname: Shu
authors.forename: Xiao-Chen
authors.initials: XC
authors.lastname: Bo
authors.forename: Sheng-Qi
authors.initials: SQ
authors.lastname: Wang
authors.forename: Lin
authors.initials: L
authors.lastname: Lu
authors.forename: Jia-Yong
authors.initials: JY
authors.lastname: Wang
mesh_terms: D000465:Algorithms; D008828:Microbiological Techniques / Q000379:methods*; D008957:Models, Genetic; D020411:Oligonucleotide Array Sequence Analysis / Q000379:methods*