Voting-based ensemble method for prediction of bioactive molecules

Olutomilayo Olayemi Petinrin, Faisal Saeed*, Tawfik Al-Hadhrami

*Corresponding author for this work

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

    3 Citations (SciVal)
    Original languageEnglish
    Title of host publication2017 2nd International Conference on Knowledge Engineering and Applications, ICKEA 2017
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    Pages118-122
    Number of pages5
    ISBN (Electronic)9781538621509
    DOIs
    Publication statusPublished (VoR) - 7 Dec 2017
    Event2nd International Conference on Knowledge Engineering and Applications, ICKEA 2017 - London, United Kingdom
    Duration: 21 Oct 201723 Oct 2017

    Publication series

    Name2017 2nd International Conference on Knowledge Engineering and Applications, ICKEA 2017
    Volume2017-January

    Conference

    Conference2nd International Conference on Knowledge Engineering and Applications, ICKEA 2017
    Country/TerritoryUnited Kingdom
    CityLondon
    Period21/10/1723/10/17

    Funding

    ACKNOWLEDGMENT This work is supported by the Ministry of Higher Education (MOHE) and Research Management Centre (RMC) at the Universiti Teknologi Malaysia (UTM) under the Research University Grant Category (VOT Q. J130000.2528.16H74). This work is supported by the Ministry of Higher Education (MOHE) and Research Management Centre (RMC) at the Universiti Teknologi Malaysia (UTM) under the Research University Grant Category (VOT Q. J130000.2528.16H74).

    FundersFunder number
    Ministry of Higher Education
    Research Management Centre
    Universiti Teknologi Malaysia
    Ministry of Higher Education
    Universiti Teknologi MalaysiaVOT Q. J130000.2528.16H74

      Keywords

      • bioactivity prediction
      • chemoinformatics
      • drug discovery
      • majority voting
      • voting ensemble

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