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Deriving Genetic Networks Using Text Mining
Högskolan i Skövde, Institutionen för datavetenskap.
2002 (engelsk)Independent thesis Advanced level (degree of Master (One Year))Oppgave
Abstract [en]

On the Internet an enormous amount of information is available that is represented in an unstructured form. The purpose with a text mining tool is to collect this information and present it in a more structured form. In this report text mining is used to create an algorithm that searches abstracts available from PubMed and finds specific relationships between genes that can be used to create a network. The algorithm can also be used to find information about a specific gene. The network created by Mendoza et al. (1999) was verified in all the connections but one using the algorithm. This connection contained implicit information. The results suggest that the algorithm is better at extracting information about specific genes than finding connections between genes. One advantage with the algorithm is that it can also find connections between genes and proteins and genes and other chemical substances.

sted, utgiver, år, opplag, sider
Skövde: Institutionen för datavetenskap , 2002. , s. 88
Emneord [en]
Text mining, Genetic network, Mendoza, Protein network
HSV kategori
Identifikatorer
URN: urn:nbn:se:his:diva-708OAI: oai:DiVA.org:his-708DiVA, id: diva2:3108
Presentation
(engelsk)
Uppsök
Physics, Chemistry, Mathematics
Veileder
Tilgjengelig fra: 2008-02-04 Laget: 2008-02-04 Sist oppdatert: 2018-01-12

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