title: Quality comparision of Flos Lonicerae Japonicae by several dissimilarity methods.
abstract: Computing similarity is extremely important in modern scientific research such as computational biology and data mining. In this paper, we put forward the concept of quantitative dissimilarity (QDS) and define a series of formulations to measure how similar or dissimilar between two objects are in quality and content for their n -dimentional properties, which is based on a simple mathematical model. Through establishing the HPLC fingerprints (HPLC-FPs) of Flos Lonicerae Japonicae (FLJ) to obtain n -dimentional vectors, in which each peak area serves as an element, the authentical quality control of FLJ were successfully implemented by several QDSs. The presented dissimilarity methods can accurately and quantitativey assess all objects differences in n -dimentional properties.
authors.affiliation: 1 Shenyang Pharmaceutical University, Shenyang 110016, China ; 2 School of Pharmacy, Hainan Medical University, Haikou 571199, P.R. China ; 3 Novartis AG, Suzhou, P.R. China.
authors.forename: Guoxiang
authors.initials: G
authors.lastname: Sun
authors.affiliation: 1 Shenyang Pharmaceutical University, Shenyang 110016, China ; 2 School of Pharmacy, Hainan Medical University, Haikou 571199, P.R. China ; 3 Novartis AG, Suzhou, P.R. China.
authors.forename: Wenjing
authors.initials: W
authors.lastname: Song
authors.affiliation: 1 Shenyang Pharmaceutical University, Shenyang 110016, China ; 2 School of Pharmacy, Hainan Medical University, Haikou 571199, P.R. China ; 3 Novartis AG, Suzhou, P.R. China.
authors.forename: Xiangyu
authors.initials: X
authors.lastname: Deng
authors.affiliation: 1 Shenyang Pharmaceutical University, Shenyang 110016, China ; 2 School of Pharmacy, Hainan Medical University, Haikou 571199, P.R. China ; 3 Novartis AG, Suzhou, P.R. China.
authors.forename: Zhongbo
authors.initials: Z
authors.lastname: Liu
keywords: Flos Lonicerae Japonicae; Quality comparision; quantitative dissimilarity