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Showing 1 - 20 results of 33 for search '(( binary pairs driven optimization algorithm ) OR ( library based web optimization algorithm ))', query time: 0.48s Refine Results
  1. 1
    Display of the web prediction interface.

    Display of the web prediction interface. by Meng Cao (105914)

    Published 2025
    “…The optimal model was further assessed for predictor importance utilizing the SHAP method and deployed on a web platform using the Streamlit library.…”
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  2. 2
    Diversity and specificity of lipid patterns in basal soil food web resources

    Diversity and specificity of lipid patterns in basal soil food web resources by Jakob Kühn (7288466)

    Published 2019
    “…In marine environments, multivariate optimization models (Quantitative Fatty Acid Signature Analysis) and Bayesian approaches (source-tracking algorithm) were established to predict the proportion of predator diets using lipids as tracers. …”
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  3. 3
    iRaPCA and SOMoC: Development and Validation of Web Applications for New Approaches for the Clustering of Small Molecules

    iRaPCA and SOMoC: Development and Validation of Web Applications for New Approaches for the Clustering of Small Molecules by Denis N. Prada Gori (5798651)

    Published 2022
    “…Here, two open-source in-house methodologies for clustering of small molecules are presented: iterative Random subspace Principal Component Analysis clustering (iRaPCA), an iterative approach based on feature bagging, dimensionality reduction, and K-means optimization; and Silhouette Optimized Molecular Clustering (SOMoC), which combines molecular fingerprints with the Uniform Manifold Approximation and Projection (UMAP) and Gaussian Mixture Model algorithm (GMM). …”
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  4. 4
    iRaPCA and SOMoC: Development and Validation of Web Applications for New Approaches for the Clustering of Small Molecules

    iRaPCA and SOMoC: Development and Validation of Web Applications for New Approaches for the Clustering of Small Molecules by Denis N. Prada Gori (5798651)

    Published 2022
    “…Here, two open-source in-house methodologies for clustering of small molecules are presented: iterative Random subspace Principal Component Analysis clustering (iRaPCA), an iterative approach based on feature bagging, dimensionality reduction, and K-means optimization; and Silhouette Optimized Molecular Clustering (SOMoC), which combines molecular fingerprints with the Uniform Manifold Approximation and Projection (UMAP) and Gaussian Mixture Model algorithm (GMM). …”
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  5. 5
    iRaPCA and SOMoC: Development and Validation of Web Applications for New Approaches for the Clustering of Small Molecules

    iRaPCA and SOMoC: Development and Validation of Web Applications for New Approaches for the Clustering of Small Molecules by Denis N. Prada Gori (5798651)

    Published 2022
    “…Here, two open-source in-house methodologies for clustering of small molecules are presented: iterative Random subspace Principal Component Analysis clustering (iRaPCA), an iterative approach based on feature bagging, dimensionality reduction, and K-means optimization; and Silhouette Optimized Molecular Clustering (SOMoC), which combines molecular fingerprints with the Uniform Manifold Approximation and Projection (UMAP) and Gaussian Mixture Model algorithm (GMM). …”
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  6. 6
    SHAP bar plot.

    SHAP bar plot. by Meng Cao (105914)

    Published 2025
    “…The optimal model was further assessed for predictor importance utilizing the SHAP method and deployed on a web platform using the Streamlit library.…”
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  7. 7
    Sample screening flowchart.

    Sample screening flowchart. by Meng Cao (105914)

    Published 2025
    “…The optimal model was further assessed for predictor importance utilizing the SHAP method and deployed on a web platform using the Streamlit library.…”
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  8. 8
    Descriptive statistics for variables.

    Descriptive statistics for variables. by Meng Cao (105914)

    Published 2025
    “…The optimal model was further assessed for predictor importance utilizing the SHAP method and deployed on a web platform using the Streamlit library.…”
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  9. 9
    SHAP summary plot.

    SHAP summary plot. by Meng Cao (105914)

    Published 2025
    “…The optimal model was further assessed for predictor importance utilizing the SHAP method and deployed on a web platform using the Streamlit library.…”
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  10. 10
    ROC curves for the test set of four models.

    ROC curves for the test set of four models. by Meng Cao (105914)

    Published 2025
    “…The optimal model was further assessed for predictor importance utilizing the SHAP method and deployed on a web platform using the Streamlit library.…”
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  11. 11
    Enhance Impact of Researchers, Journals and Increase success for more citations

    Enhance Impact of Researchers, Journals and Increase success for more citations by mahdi lotfipanah (6922457)

    Published 2019
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  12. 12
    Results of network meta-analysis.

    Results of network meta-analysis. by Kaiyu Zhang (198799)

    Published 2023
    “…</p><p>Methods</p><p>A document retrieval was conducted in the databases PubMed, Cochrane Library, Embase, Web of science, China National Knowledge Infrastructure, WanFang Data Dissertations of China database, VIP China Science and Technology Journal Database, SinoMed. …”
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  13. 13
    Results of network meta-analysis.

    Results of network meta-analysis. by Kaiyu Zhang (198799)

    Published 2023
    “…</p><p>Methods</p><p>A document retrieval was conducted in the databases PubMed, Cochrane Library, Embase, Web of science, China National Knowledge Infrastructure, WanFang Data Dissertations of China database, VIP China Science and Technology Journal Database, SinoMed. …”
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  14. 14
    Results of network meta-analysis.

    Results of network meta-analysis. by Kaiyu Zhang (198799)

    Published 2023
    “…</p><p>Methods</p><p>A document retrieval was conducted in the databases PubMed, Cochrane Library, Embase, Web of science, China National Knowledge Infrastructure, WanFang Data Dissertations of China database, VIP China Science and Technology Journal Database, SinoMed. …”
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  15. 15
    Results of network meta-analysis.

    Results of network meta-analysis. by Kaiyu Zhang (198799)

    Published 2023
    “…</p><p>Methods</p><p>A document retrieval was conducted in the databases PubMed, Cochrane Library, Embase, Web of science, China National Knowledge Infrastructure, WanFang Data Dissertations of China database, VIP China Science and Technology Journal Database, SinoMed. …”
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  16. 16
    Study flowchart.

    Study flowchart. by Kaiyu Zhang (198799)

    Published 2023
    “…</p><p>Methods</p><p>A document retrieval was conducted in the databases PubMed, Cochrane Library, Embase, Web of science, China National Knowledge Infrastructure, WanFang Data Dissertations of China database, VIP China Science and Technology Journal Database, SinoMed. …”
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  17. 17
    Risk of bias graph.

    Risk of bias graph. by Kaiyu Zhang (198799)

    Published 2023
    “…</p><p>Methods</p><p>A document retrieval was conducted in the databases PubMed, Cochrane Library, Embase, Web of science, China National Knowledge Infrastructure, WanFang Data Dissertations of China database, VIP China Science and Technology Journal Database, SinoMed. …”
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  18. 18
    Results of network meta-analysis.

    Results of network meta-analysis. by Kaiyu Zhang (198799)

    Published 2023
    “…</p><p>Methods</p><p>A document retrieval was conducted in the databases PubMed, Cochrane Library, Embase, Web of science, China National Knowledge Infrastructure, WanFang Data Dissertations of China database, VIP China Science and Technology Journal Database, SinoMed. …”
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  19. 19
    Characteristics of included studies.

    Characteristics of included studies. by Kaiyu Zhang (198799)

    Published 2023
    “…</p><p>Methods</p><p>A document retrieval was conducted in the databases PubMed, Cochrane Library, Embase, Web of science, China National Knowledge Infrastructure, WanFang Data Dissertations of China database, VIP China Science and Technology Journal Database, SinoMed. …”
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  20. 20
    PoseidonQ: A Free Machine Learning Platform for the Development, Analysis, and Validation of Efficient and Portable QSAR Models for Drug Discovery

    PoseidonQ: A Free Machine Learning Platform for the Development, Analysis, and Validation of Efficient and Portable QSAR Models for Drug Discovery by Muzammil Kabier (21028487)

    Published 2025
    “…Interestingly, the translation of QSAR models into web-based applications makes them free accessible, portable, and ready for screening large volumes of new data without limits. …”
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