Computational methods for cellular network inference and compound evaluation
2005 (English)Licentiate thesis, comprehensive summary (Other academic)
Most diseases are caused by a mixture of environmental and genetic components. The genetic component is mainly inherited but can also induced by the environment. Cancer and cardiovascular diseases are not affected by a single gene but more often by a number of genes a nd also the complex system that the interactions between these genes form. To understand and treat these complex diseases we need a better understanding of the underlying gene networks and what parts of the network the diseases target. In the first study presented here we show that text mining of the biological literature together with whole-genome expression data can be used to identify gene networks and that the resulting network edges can be ranked according to their biological reliability. In the second study we present a novel algorithm, CutTree, that can identify the genetic targets of compounds using only a small number of whole-genome expression experiments. Computational tools like these will facilitate the exploration of gene networks in health and disease.
Place, publisher, year, edition, pages
Linköping: Linköpings universitet , 2005. , 13 p.
Linköping Studies in Science and Technology. Thesis, ISSN 0280-7971 ; 1208
, LiU-TEK-LIC, 63
IdentifiersURN: urn:nbn:se:liu:diva-31005ISRN: LIU-TEK-LIC 2005:63Local ID: 16696OAI: oai:DiVA.org:liu-31005DiVA: diva2:251828
List of papers