Search Results - "Imangaliyev, Sultan"

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    Interindividual variation, correlations, and sex-related differences in the salivary biochemistry of young healthy adults by Prodan, Andrei, Brand, Henk S., Ligtenberg, Antoon J. M., Imangaliyev, Sultan, Tsivtsivadze, Evgeni, van der Weijden, Fridus, Crielaard, Wim, Keijser, Bart J. F., Veerman, Enno C. I.

    Published in European journal of oral sciences (01-06-2015)
    “…A cross‐sectional observational study was conducted to evaluate interindividual biochemical variation in unstimulated whole saliva in a population of 268…”
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    Journal Article
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    A salivary metabolite signature that reflects gingival host-microbe interactions: instability predicts gingivitis susceptibility by Fernandez-Gutierrez, Marcela M., Imangaliyev, Sultan, Prodan, Andrei, Loos, Bruno G., Keijser, Bart J. F., Kleerebezem, Michiel

    Published in Scientific reports (20-02-2020)
    “…Several proteins and peptides in saliva were shown to stimulate gingival wound repair, but the role of salivary metabolites in this process remains unexplored…”
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    Journal Article
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    Diagnosis of Inflammatory Bowel Disease and Colorectal Cancer through Multi-View Stacked Generalization Applied on Gut Microbiome Data by Imangaliyev, Sultan, Schlötterer, Jörg, Meyer, Folker, Seifert, Christin

    Published in Diagnostics (Basel) (01-10-2022)
    “…Most of the microbiome studies suggest that using ensemble models such as Random Forest results in best predictive power. In this study, we empirically…”
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    Journal Article
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    A Study of the Variation in the Salivary Peptide Profiles of Young Healthy Adults Acquired Using MALDI-TOF MS by Prodan, Andrei, Brand, Henk, Imangaliyev, Sultan, Tsivtsivadze, Evgeni, van der Weijden, Fridus, de Jong, Ad, Paauw, Armand, Crielaard, Wim, Keijser, Bart, Veerman, Enno

    Published in PloS one (03-06-2016)
    “…A cross-sectional observational study was conducted to evaluate the inter-individual variation in the MALDI-TOF MS peptide profiles of unstimulated whole…”
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    Journal Article
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    Model Personalization with Static and Dynamic Patients' Data by Youssef, Paul, Schlotterer, Jorg, Imangaliyev, Sultan, Seifert, Christin

    “…Recent progress in machine learning has been ac-companied by the availability of large amount of data in many do-mains. The clinical domain is no exception,…”
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    Conference Proceeding
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    Personalized microbial network inference via co-regularized spectral clustering by Imangaliyev, Sultan, Keijser, Bart, Crielaard, Wim, Tsivtsivadze, Evgeni

    Published in Methods (San Diego, Calif.) (15-07-2015)
    “…•We propose the network based approach to cluster personalized oral microbial data.•We discovered two groups of individuals in terms of microbial interaction…”
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    Journal Article
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    Domain intelligible models by Imangaliyev, Sultan, Prodan, Andrei, Nieuwdorp, Max, Groen, Albert K., van Riel, Natal A.W., Levin, Evgeni

    Published in Methods (San Diego, Calif.) (01-10-2018)
    “…•In the data-rich “-omics” fields features can be organised in groups that are related to a biological phenomenon or clinical outcome in the same way.•For…”
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    Journal Article
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    Effect of experimental gingivitis induction and erythritol on the salivary metabolome and functional biochemistry of systemically healthy young adults by Prodan, Andrei, Imangaliyev, Sultan, Brand, Henk S., Rosema, Martijn N. A., Levin, Evgeni, Crielaard, Wim, Keijser, Bart J. F., Veerman, Enno C. I.

    Published in Metabolomics (01-09-2016)
    “…Introduction Understanding the changes occurring in the oral ecosystem during development of gingivitis could help improve prevention and treatment strategies…”
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    Journal Article
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    Personalized microbial network inference via co-regularized spectral clustering by Imangaliyev, Sultan, Keijser, Bart, Crielaard, Wim, Tsivtsivadze, Evgeni

    “…We use Human Microbiome Project (HMP) cohort [1] to infer personalized oral microbial networks of healthy individuals. To determine clustering of individuals…”
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    Conference Proceeding
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    Online semi-supervised learning: Algorithm and application in metagenomics by Imangaliyev, Sultan, Keijser, Bart, Crielaard, Wim, Tsivtsivadze, Evgeni

    “…As the amount of metagenomic data grows rapidly, online statistical learning algorithms are poised to play key role in metagenome analysis tasks. Frequently,…”
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    Conference Proceeding
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    Classification of Quantitative Light-Induced Fluorescence Images Using Convolutional Neural Network by Imangaliyev, Sultan, van der Veen, Monique H, Volgenant, Catherine M. C, Loos, Bruno G, Keijser, Bart J. F, Crielaard, Wim, Levin, Evgeni

    Published 25-05-2017
    “…Images are an important data source for diagnosis and treatment of oral diseases. The manual classification of images may lead to misdiagnosis or mistreatment…”
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    Journal Article