摘要
由于宏基因组学的迅猛发展,导致可测序的宏基因组数量激增,可测DNA序列也在扩大,但绝大部分DNA序列种属未知,故生物信息学面临的重要课题是研究一种如何针对这些巨大量宏基因组DNA信息属性约简并正确分类的方法.提出采用Rand WPSO结合粗糙集的优化算法,分别对宏基因组中的DNA片段在不同属、同属不同种情况下进行属性约简并分类,经实验证明能够进行有效约简可取得较高的分辩准确率.
The rapid development of the metagenomics has led to a surge in the number of sequenced macro genomes and the large number of DNA sequences that are predictable.However,most of the DNA sequences are unknown,so the important topic of bioinformatics is to study how to deal with the attribution reduction aiming at huge information of metagenome DNA fragments and find a method to classify them correctly.The algorithm of RandWPSO combined rough set was proposed to reduce and classify the DNA fragments in the metagenome of different genera but the same species,and it is proved that the effective reduction can be achieved by the experiment with a higher resolution accuracy.
作者
薛健
车长金
Xue Jian;Che Changjin(College of Electrical & Information Engineering,Beihua University,Jilin 132021,China)
出处
《北华大学学报（自然科学版）》
CAS
2017年第6期732-734,共3页
Journal of Beihua University（Natural Science）
基金
吉林省科技发展计划项目(20170520057JH)
吉林省教育厅科学技术研究项目(201656)
吉林市科技创新技术项目(201414012)
关键词
宏基因组学
粗糙集
属性约简
物种分类
metagenomics
rough set
attribute reduction
species classification
