Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Odor recognition framework for evaluating olfactory codes
KTH, School of Computer Science and Communication (CSC), Computational Biology, CB.ORCID iD: 0000-0001-6553-823X
KTH, School of Computer Science and Communication (CSC), Computational Biology, CB.ORCID iD: 0000-0002-2358-7815
2011 (English)Conference paper, Published paper (Other academic)
Place, publisher, year, edition, pages
Oxford University Press, 2011. Vol. 36, no 1, E17-E17 p.
Series
Chemical senses, ISSN 0379-864X
National Category
Bioinformatics (Computational Biology)
Identifiers
URN: urn:nbn:se:kth:diva-30559ISI: 000285414900049OAI: oai:DiVA.org:kth-30559DiVA: diva2:401121
Conference
20th Congress of European Chemoreception Research Organization (ECRO-2010)
Funder
Swedish e‐Science Research Center
Note

QC 20110301

Available from: 2011-03-01 Created: 2011-02-28 Last updated: 2016-04-28Bibliographically approved

Open Access in DiVA

No full text

Authority records BETA

Herman, Pawel

Search in DiVA

By author/editor
Herman, PawelLansner, Anders
By organisation
Computational Biology, CB
Bioinformatics (Computational Biology)

Search outside of DiVA

GoogleGoogle Scholar

urn-nbn

Altmetric score

urn-nbn
Total: 74 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf