Högskolan i Skövde

his.sePublikasjoner
Endre søk
RefereraExporteraLink to record
Permanent link

Direct link
Referera
Referensformat
  • apa
  • apa-cv
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Annet format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annet språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf
Inferring Genetic Networks from Expression Data with Mutual Information
Högskolan i Skövde, Institutionen för datavetenskap.
2002 (engelsk)Independent thesis Advanced level (degree of Master (One Year))Oppgave
Abstract [en]

Recent methods to infer genetic networks are based on identifying gene interactions by similarities in expression profiles. These methods are founded on the assumption that interacting genes share higher similarities in their expression profiles than non-interacting genes. In this dissertation this assumption is validated when using mutual information as a similarity measure. Three algorithms that calculate mutual information between expression data are developed: 1) a basic approach implemented with the histogram technique; 2) an extension of the basic approach that takes into consideration time delay between expression profiles; 3) an extension of the basic approach that takes into consideration that genes are regulated in a complex manner by multiple genes. In our experiments we compare the mutual information distributions for profiles of interacting and non-interacting genes. The results show that interacting genes do not share higher mutual information in their expression profiles than non-interacting genes, thus contradicting the basic assumption that similarity measures need to fulfil. This indicates that mutual information is not appropriate as similarity measure, which contradicts earlier proposals.

sted, utgiver, år, opplag, sider
Skövde: Institutionen för datavetenskap , 2002. , s. 91
Emneord [en]
Gene Expression, Gene Expression Analysis, Genetic Networks, Gene Regulation, Mutual Information
HSV kategori
Identifikatorer
URN: urn:nbn:se:his:diva-736OAI: oai:DiVA.org:his-736DiVA, id: diva2:3139
Presentation
(engelsk)
Uppsök
Social and Behavioural Science, Law
Veileder
Tilgjengelig fra: 2008-02-06 Laget: 2008-02-06 Sist oppdatert: 2018-01-12

Open Access i DiVA

fulltekst(2170 kB)519 nedlastinger
Filinformasjon
Fil FULLTEXT01.psFilstørrelse 2170 kBChecksum SHA-1
49fb989fc076e183dd9d04e440758d50b251ccc1b9448bb852ef2d246f7201675aca631a
Type fulltextMimetype application/postscript
fulltekst(328 kB)205 nedlastinger
Filinformasjon
Fil FULLTEXT02.pdfFilstørrelse 328 kBChecksum SHA-512
cde6ca22fd1f3356e355b2fccb40eaf70075b8692bbf9a88e664e6e08fb4a7ea6d5ed3e0e7f57113d6b01748d247d358c747096688c0a787661c5e826b27f42b
Type fulltextMimetype application/pdf

Av organisasjonen

Søk utenfor DiVA

GoogleGoogle Scholar
Totalt: 725 nedlastinger
Antall nedlastinger er summen av alle nedlastinger av alle fulltekster. Det kan for eksempel være tidligere versjoner som er ikke lenger tilgjengelige

urn-nbn

Altmetric

urn-nbn
Totalt: 327 treff
RefereraExporteraLink to record
Permanent link

Direct link
Referera
Referensformat
  • apa
  • apa-cv
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Annet format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annet språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf