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Showing 1 - 20 results of 753 for search '(( python study presented ) OR ( python code predicted ))', query time: 0.73s Refine Results
  1. 1
    Python code.

    Python code. by Ryo Iwasaki (14210016)

    Published 2022
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  2. 2
    Numbers of predictions.

    Numbers of predictions. by Bjørn André Bredesen-Aa (13767126)

    Published 2022
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  3. 3
    Prediction overlap with experimental data.

    Prediction overlap with experimental data. by Bjørn André Bredesen-Aa (13767126)

    Published 2022
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  4. 4
    Predictions at the A) <i>invected</i> and B) <i>vestigial</i> loci.

    Predictions at the A) <i>invected</i> and B) <i>vestigial</i> loci. by Bjørn André Bredesen-Aa (13767126)

    Published 2022
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  5. 5
    Python code.

    Python code. by Kapil Newar (6533048)

    Published 2022
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  6. 6
    Python code.

    Python code. by Iver Martinsen (14059479)

    Published 2022
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  7. 7
    Multiprocessing and GPU application of SVMs significantly reduces run-times.

    Multiprocessing and GPU application of SVMs significantly reduces run-times. by Bjørn André Bredesen-Aa (13767126)

    Published 2022
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  8. 8
    Deep-MOCCA schematic.

    Deep-MOCCA schematic. by Bjørn André Bredesen-Aa (13767126)

    Published 2022
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  9. 9
    Core data preparation features.

    Core data preparation features. by Bjørn André Bredesen-Aa (13767126)

    Published 2022
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  10. 10
    Models.

    Models. by Bjørn André Bredesen-Aa (13767126)

    Published 2022
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  11. 11
    Cross-validation Precision/Recall curves.

    Cross-validation Precision/Recall curves. by Bjørn André Bredesen-Aa (13767126)

    Published 2022
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  12. 12
    Sequence feature analysis.

    Sequence feature analysis. by Bjørn André Bredesen-Aa (13767126)

    Published 2022
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  13. 13
    The Python code simulating the results presented in this study.

    The Python code simulating the results presented in this study. by Amir Reza Alizad-Rahvar (5993201)

    Published 2022
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  14. 14
    Table_1_BayesPI-BAR2: A New Python Package for Predicting Functional Non-coding Mutations in Cancer Patient Cohorts.xlsx

    Table_1_BayesPI-BAR2: A New Python Package for Predicting Functional Non-coding Mutations in Cancer Patient Cohorts.xlsx by Kirill Batmanov (3722374)

    Published 2019
    “…Here, we present a new user-friendly Python package BayesPI-BAR2 based on the proposed pipeline for integrative whole-genome sequence analysis. …”
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  15. 15
    Table_2_BayesPI-BAR2: A New Python Package for Predicting Functional Non-coding Mutations in Cancer Patient Cohorts.docx

    Table_2_BayesPI-BAR2: A New Python Package for Predicting Functional Non-coding Mutations in Cancer Patient Cohorts.docx by Kirill Batmanov (3722374)

    Published 2019
    “…Here, we present a new user-friendly Python package BayesPI-BAR2 based on the proposed pipeline for integrative whole-genome sequence analysis. …”
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  16. 16
    Python source code of the framework.

    Python source code of the framework. by Tomasz Gutowski (17200042)

    Published 2023
    “…<p>This supplementary file contains the complete Python source code for training the machine learning models to predict patient medication responses and for generating optimized medication schedules.…”
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  17. 17
    Perceptron python code

    Perceptron python code by MOURAD OULID-AISSA (22115083)

    Published 2025
    “…<p dir="ltr">Perceptron Python code used in project on AI in criminal justice based on a predictive approach to threat detection. …”
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  18. 18
    SVM python code

    SVM python code by MOURAD OULID-AISSA (22115083)

    Published 2025
    “…<p dir="ltr">SVM python code used in project on AI in criminal justice based on a predictive approach to threat detection. …”
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  19. 19
    Gaussian Process kernels comparison - Datasets and python code

    Gaussian Process kernels comparison - Datasets and python code by Jiabo Lu (17181766)

    Published 2024
    “…Surrogate flood model comparison - Datasets and python code (Version 1). The University of Melbourne. …”
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  20. 20
    <b>Python codes for machine learning algorithms for subclinical mastitis prediction</b>

    <b>Python codes for machine learning algorithms for subclinical mastitis prediction</b> by Hamza Yalçin (21182759)

    Published 2025
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