Hasil Pencarian - Recep Colak

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  1. 1
    Bekçi İmajı Ölçeği’nin Geliştirilmesi

    Bekçi İmajı Ölçeği’nin Geliştirilmesi oleh Recep Çolak

    Diterbitkan 2023-04-01
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  2. 2
    Üniversite Ders Çizelgeleme Probleminin Genetik Algoritma ile Optimizasyonu

    Üniversite Ders Çizelgeleme Probleminin Genetik Algoritma ile Optimizasyonu oleh Tuncay Yiğit, Recep Çolak

    Diterbitkan 2021-12-01
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  3. 3
    Combining structural modeling with ensemble machine learning to accurately predict protein fold stability and binding affinity effects upon mutation.

    Combining structural modeling with ensemble machine learning to accurately predict protein fold stability and binding affinity effects upon mutation. oleh Niklas Berliner, Joan Teyra, Recep Colak, Sebastian Garcia Lopez, Philip M Kim

    Diterbitkan 2014-01-01
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  4. 4
    Module discovery by exhaustive search for densely connected, co-expressed regions in biomolecular interaction networks.

    Module discovery by exhaustive search for densely connected, co-expressed regions in biomolecular interaction networks. oleh Recep Colak, Flavia Moser, Jeffrey Shih-Chieh Chu, Alexander Schönhuth, Nansheng Chen, Martin Ester

    Diterbitkan 2010-10-01
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  5. 5
    Correction: Module Discovery by Exhaustive Search for Densely Connected, Co-Expressed Regions in Biomolecular Interaction Networks.

    Correction: Module Discovery by Exhaustive Search for Densely Connected, Co-Expressed Regions in Biomolecular Interaction Networks. oleh Recep Colak, Flavia Moser, Jeffrey Shih-Chieh Chu, Alexander Schönhuth, Nansheng Chen, Martin Ester

    Diterbitkan 2010-01-01
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  6. 6
    Distinct types of disorder in the human proteome: functional implications for alternative splicing.

    Distinct types of disorder in the human proteome: functional implications for alternative splicing. oleh Recep Colak, TaeHyung Kim, Magali Michaut, Mark Sun, Manuel Irimia, Jeremy Bellay, Chad L Myers, Benjamin J Blencowe, Philip M Kim

    Diterbitkan 2013-04-01
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  7. 7
    Semi-supervised Learning Predicts Approximately One Third of the Alternative Splicing Isoforms as Functional Proteins

    Semi-supervised Learning Predicts Approximately One Third of the Alternative Splicing Isoforms as Functional Proteins oleh Yanqi Hao, Recep Colak, Joan Teyra, Carles Corbi-Verge, Alexander Ignatchenko, Hannes Hahne, Mathias Wilhelm, Bernhard Kuster, Pascal Braun, Daisuke Kaida, Thomas Kislinger, Philip M. Kim

    Diterbitkan 2015-07-01
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