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An Information Fusion Approach to Controlling Complexity in Bioinformatics Research
Högskolan i Skövde, Institutionen för kommunikation och information.
Högskolan i Skövde, Institutionen för kommunikation och information.
Högskolan i Skövde, Institutionen för kommunikation och information.
Högskolan i Skövde, Institutionen för kommunikation och information.
Vise andre og tillknytning
2005 (engelsk)Inngår i: 2005 IEEE Computational Systems Bioinformatics Conference: Workshops & Poster Abstracts: CSB 2005, IEEE Computer Society, 2005, s. 299-304Konferansepaper, Publicerat paper (Fagfellevurdert)
Abstract [en]

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.

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IEEE Computer Society, 2005. s. 299-304
Identifikatorer
URN: urn:nbn:se:his:diva-1711DOI: 10.1109/CSBW.2005.22Scopus ID: 2-s2.0-33749054892ISBN: 0-7695-2442-7 OAI: oai:DiVA.org:his-1711DiVA, id: diva2:31987
Konferanse
2005 IEEE Computational Systems Bioinformatics Conference, Workshops and Poster Abstracts; Stanford, CA; 8 August 2005 through 11 August 2005
Tilgjengelig fra: 2007-08-20 Laget: 2007-08-20 Sist oppdatert: 2017-11-27bibliografisk kontrollert

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Olsson, BjörnNilsson, PatricGawronska, BarbaraPersson, AnneZiemke, TomAndler, Sten F.

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