ABSTRACT
This study was aimed to establish Chinese medicine efficacy concept network in order to reveal the in-ner relation between traditional Chinese medicine (TCM) and efficacy as well as to suggest the application way of efficacy concept network. Through the collation of medicine efficacy recorded in the Pharmacopoeia of the People's Republic of China (2010 Edition, Volume I), the correlation relationship between TCM efficacy concept was systematically analyzed, and the efficacy concept network was constructed in order to extract specific effica-cy sub-network based on efficacy concept network and then to discover the efficacy groups by utilizing the net-work clustering algorithm. In the Chinese medicine efficacy concept network, 422 efficacy concepts were con-structed and 21 tightly efficacy groups were discovered. Using the efficacy of promoting blood circulation as an example, the application of sub-networks was discussed. Chinese medicine efficacy concept network can be used to reflect the basic theory and clinical experiences in Chinese medicine , to systematically reveal the relationship between TCM efficacy concepts, which can be beneficial to guide the reasonable application of Chinese medicine in disease treatment .
ABSTRACT
Objective To evaluate the probability of siblings identification in Identifiler system by using the software of automatic analysis.Methods Using the software of automatic analysis in siblings jdentification.STP genetic typing of 151 pairs of full siblings and 31224 pairs of unrelated individuals from manual simulation were analyzed in 15 STR loci of ldentifiler system.Results Kin probability(W_(FS))of 39.07% full siblings were more than 99.999% while W_(FS) of unrelated individual pairs were 0% .W_(FS) of 60.93% full siblings and 21.3% unrelated individual pairs were all at the range from 99.999% to 1% .W_(FS) of 78.7% unrelated individual pairs 0% full siblings individuals were less than 1% .Therefore,there were notability difference between full siblings and unrelated individual pairs.In addition,testing of 15 STR loci of Identifiler system,it suggested that the pair were siblings when the locus number of the entirely-same is not less than 5 or that of the entirely-different is not more than 1,and that the pair were unrelated individuals when the locus number of the entirely-different is not less than 6 or that of the entirely-8alne is not more than 1.Conclusion The software of automatic analysis and the Identifiler system call be used to siblings identification.