This Article 
   
 Share 
   
 Bibliographic References 
   
 Add to: 
 
Digg
Furl
Spurl
Blink
Simpy
Google
Del.icio.us
Y!MyWeb
 
 Search 
   
2005 IEEE Computational Systems Bioinformatics Conference - Workshops (CSBW'05)
An Information Fusion Approach to Controlling Complexity in Bioinformatics Research
Stanford, California
August 08-August 11
ISBN: 0-7695-2442-7
Bj?rn Olsson, School of Humanities and Informatics,University of Sk?vde
Barbara Gawronska, School of Humanities and Informatics,University of Sk?vde
Tom Ziemke, School of Humanities and Informatics,University of Sk?vde
Sten F. Andler, School of Humanities and Informatics,University of Sk?vde
Patric Nilsson, School of Life Sciences,,University of Sk?vde
Anne Persson, School of Technology and Society,University of Sk?vde

Information Fusion (IF) is about combining, or fusing, information from different sources in order to facilitate our understanding of a complex system and thereby provide insights that could not be gained from any of the individual data sources in isolation. We argue in this paper that there is a need for applying an IF approach in bioinformatics research, since the aim of bioinformatics is to understand complex biological systems using many different data sources providing complementary views of the system. We illustrate this argument with two application examples, where IF-based bioinformatics is applied to the study of stem cell differentiation and lipid digestion, respectively. We also discuss the use of automated information extraction from text sources, which is an essential component of a bioinformatics IF approach, given the abundant literature.

Citation:
Bj?rn Olsson, Barbara Gawronska, Tom Ziemke, Sten F. Andler, Patric Nilsson, Anne Persson, "An Information Fusion Approach to Controlling Complexity in Bioinformatics Research," csbw, pp.299-304, 2005 IEEE Computational Systems Bioinformatics Conference - Workshops (CSBW'05), 2005
Usage of this product signifies your acceptance of the Terms of Use.