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Classification of information fusion methods in systems biology
Högskolan i Skövde, Forskningscentrum för Systembiologi. Högskolan i Skövde, Institutionen för vård och natur.
Högskolan i Skövde, Forskningscentrum för Systembiologi. Högskolan i Skövde, Institutionen för vård och natur.
Högskolan i Skövde, Forskningscentrum för Systembiologi. Högskolan i Skövde, Institutionen för vård och natur.
2009 (engelsk)Inngår i: In Silico Biology, ISSN 1386-6338, Vol. 9, nr 3, s. 65-76Artikkel, forskningsoversikt (Fagfellevurdert) Published
Abstract [en]

Biological systems are extremely complex and often involve thousands of interacting components. Despite all efforts, many complex biological systems are still poorly understood. However, over the past few years high-throughput technologies have generated large amounts of biological data, now requiring advanced bioinformatic algorithms for interpretation into valuable biological information. Due to these high-throughput technologies, the study of biological systems has evolved from focusing on single components (e.g. genes) to encompassing large sets of components (e.g. all genes in an entire genome), with the aim to elucidate their interdependences in various biological processes. In addition, there is also an increasing need for integrative analysis, where knowledge about the biological system is derived by data fusion, using heterogeneous data sets as input. We here review representative examples of bioinformatic methods for fusion-oriented interpretation of multiple heterogeneous biological data, and propose a classification into three categories of tasks that they address: data extraction, data integration and data fusion. The aim of this classification is to facilitate the exchange of methods between systems biology and other information fusion application areas.

sted, utgiver, år, opplag, sider
IOS Press, 2009. Vol. 9, nr 3, s. 65-76
Emneord [en]
information fusion, data fusion, data integration, systems biology
HSV kategori
Forskningsprogram
Naturvetenskap
Identifikatorer
URN: urn:nbn:se:his:diva-3298DOI: 10.3233/ISB-2009-0391PubMedID: 19795566Scopus ID: 2-s2.0-67649887352OAI: oai:DiVA.org:his-3298DiVA, id: diva2:227212
Tilgjengelig fra: 2009-07-10 Laget: 2009-07-10 Sist oppdatert: 2017-12-13bibliografisk kontrollert

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Synnergren, JaneOlsson, BjörnGamalielsson, Jonas

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