Paper Info
Title
Application of Data Mining in Research of Avian Influenza Virus Cross-Species Infection
Abstract
Avian Influenza Virus (AIV) has already crossed species barriers to infect humans, but the reason for avian flu cross-species infection is unknown. A lot of biology experiment accumulated tens of thousands of biological information data. As a new technology based on database and statistics, data mining provides unprecedented data analysis tool to biologists and powerful means to gene and protein's analysis and extraction. In this paper, we applied feature-based clustering and classification method to the research of AIV cross-species infection, finding useful patterns, and created a web-based early warning system. We also applied entropy plot and regression analysis to discover host-associated sites in AIV cross-species infection, and got the key sites that differentiate human versus avian influenza using the same method. Compared the two sets, we expected to discover some rules about the mutation trend.
Year
DOI
Venue
2011
10.1109/eScience.2011.21
eScience
Keywords
Field
DocType
regression analysis,statistical analysis,internet,wavelet packets,avian influenza,data mining,proteins,entropy,genetics,early warning system,data analysis,microorganisms,feature extraction
Data mining,Virus,Information data,Biology,Pattern clustering,Influenza A virus subtype H5N1,Cluster analysis
Conference
Volume
Issue
Citations 
null
null
1
PageRank 
References 
Authors
0.36
3
7
Name
Order
Citations
PageRank
Shasha Li111.71
Yuanchun Zhou210.36
Jianhui Li314631.34
Ze Luo4236.75
Zheng Kou541.48
Tianxian Li6341.46
BaoPing Yan711822.81