The quantitative prediction of HLA-B∗2705 peptide binding affinities using Support Vector Regression to gain insights into its role for the Spondyloarthropathies

Volkan Uslan, Huseyin Seker*

*Corresponding author for this work

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    3 Citations (SciVal)
    Original languageEnglish
    Title of host publication2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2015
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    Pages7651-7654
    Number of pages4
    ISBN (Electronic)9781424492718
    DOIs
    Publication statusPublished (VoR) - 4 Nov 2015
    Event37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2015 - Milan, Italy
    Duration: 25 Aug 201529 Aug 2015

    Publication series

    NameProceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
    Volume2015-November
    ISSN (Print)1557-170X

    Conference

    Conference37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2015
    Country/TerritoryItaly
    CityMilan
    Period25/08/1529/08/15

    Fingerprint

    Dive into the research topics of 'The quantitative prediction of HLA-B∗2705 peptide binding affinities using Support Vector Regression to gain insights into its role for the Spondyloarthropathies'. Together they form a unique fingerprint.

    Cite this