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Showing 1 - 20 results of 498 for search '(( relevant sm algorithm ) OR ((( predict binding algorithm ) OR ( neural coding algorithm ))))', query time: 0.31s Refine Results
  1. 1
    Dataset for Fine-Tuning Code Generation Models: Kannada-English Algorithmic Statements and Python Code

    Dataset for Fine-Tuning Code Generation Models: Kannada-English Algorithmic Statements and Python Code by Goutami Sooda (20714729)

    Published 2025
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  2. 2
    PATH has state-of-the-art performance versus previous binding affinity prediction algorithms.

    PATH has state-of-the-art performance versus previous binding affinity prediction algorithms. by Yuxi Long (11024307)

    Published 2025
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  3. 3
    Data and code resources.

    Data and code resources. by Sam Hall-McMaster (10343795)

    Published 2025
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  4. 4
    The parameter setting of the evolutionary neural network.

    The parameter setting of the evolutionary neural network. by Wenbing Shi (5806160)

    Published 2025
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  5. 5
    The genome coding scheme.

    The genome coding scheme. by Wenbing Shi (5806160)

    Published 2025
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  6. 6
    MHC II binding predictions

    MHC II binding predictions by Robert Sinkovits (8918225)

    Published 2024
    “…<p dir="ltr">Predictions of peptide (15-mer) bindings to mouse I-A<sup>b</sup> MHCII molecule using the neural network algorithm implemented in the IEDB MHC II version 2.13 collection of tools [1]. …”
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  7. 7
    The optimal number of clusters identified using the GMM clustering algorithm.

    The optimal number of clusters identified using the GMM clustering algorithm. by Dinh K. Tang (20469082)

    Published 2024
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  8. 8
    Optimal number of clusters identified using the GMM clustering algorithm.

    Optimal number of clusters identified using the GMM clustering algorithm. by Dinh K. Tang (20469082)

    Published 2024
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  9. 9
    Molecular dynamics simulation to predict binding affinity and stability of interaction of vaccine candidates over time.

    Molecular dynamics simulation to predict binding affinity and stability of interaction of vaccine candidates over time. by Derrick Neba Nebangwa (19923731)

    Published 2024
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  10. 10
    Impact of multiunit merging on neural information encoding.

    Impact of multiunit merging on neural information encoding. by Daniel Suárez-Barrera (22676654)

    Published 2025
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  11. 11
    Accuracy values of various optimization algorithms for rbpTransformer model.

    Accuracy values of various optimization algorithms for rbpTransformer model. by Ahmet Gürhanlı (21602042)

    Published 2025
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  12. 12
    Codes for "<b>A coherent power-load optimization algorithm for wind-farm-level yaw control considering wake effects via deep neural network</b>"

    Codes for "<b>A coherent power-load optimization algorithm for wind-farm-level yaw control considering wake effects via deep neural network</b>" by Yize Wang (19535173)

    Published 2024
    “…<p dir="ltr">Codes for "<b>A coherent power-load optimization algorithm for wind-farm-level yaw control considering wake effects via deep neural network</b>"</p>…”
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  13. 13
    code_4

    code_4 by Olga Ovtsarenko (20432033)

    Published 2024
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  14. 14
    Modeling Molecularly Imprinted Nanoparticles with LNKD: A Resource Efficient Algorithm for Polymer Cross-Linking

    Modeling Molecularly Imprinted Nanoparticles with LNKD: A Resource Efficient Algorithm for Polymer Cross-Linking by Emma Stevens (22257358)

    Published 2025
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  15. 15
    Initialization of variables in the APDCA algorithm.

    Initialization of variables in the APDCA algorithm. by Yangsong He (13909371)

    Published 2025
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  16. 16
    The genetic algorithm.

    The genetic algorithm. by Viktoria Zemliak (19500335)

    Published 2025
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  17. 17
    Temporal response patterns determined by Dirichlet Process-based clustering algorithm across amplitudes and stimuli.

    Temporal response patterns determined by Dirichlet Process-based clustering algorithm across amplitudes and stimuli. by Dinh K. Tang (20469082)

    Published 2024
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  18. 18
    S9 Fig - Towards a comprehensive view of the pocketome universe—biological implications and algorithmic challenges

    S9 Fig - Towards a comprehensive view of the pocketome universe—biological implications and algorithmic challenges by Hanne Zillmer (21782030)

    Published 2025
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  19. 19
    S10 Fig - Towards a comprehensive view of the pocketome universe—biological implications and algorithmic challenges

    S10 Fig - Towards a comprehensive view of the pocketome universe—biological implications and algorithmic challenges by Hanne Zillmer (21782030)

    Published 2025
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  20. 20
    S8 Fig - Towards a comprehensive view of the pocketome universe—biological implications and algorithmic challenges

    S8 Fig - Towards a comprehensive view of the pocketome universe—biological implications and algorithmic challenges by Hanne Zillmer (21782030)

    Published 2025
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