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Showing 61 - 80 results of 13,113 for search '(( algorithm using function ) OR ((( algorithm python function ) OR ( algorithm body function ))))*', query time: 0.65s Refine Results
  1. 61
    Flow of the NSGA-II algorithm.

    Flow of the NSGA-II algorithm. by Yi Tao (178829)

    Published 2022
    Subjects: “…evolutionary genetic algorithm…”
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  2. 62
    ADT: A Generalized Algorithm and Program for Beyond Born–Oppenheimer Equations of “<i>N</i>” Dimensional Sub-Hilbert Space

    ADT: A Generalized Algorithm and Program for Beyond Born–Oppenheimer Equations of “<i>N</i>” Dimensional Sub-Hilbert Space by Koushik Naskar (7510592)

    Published 2020
    “…The “ADT” program can be efficiently used to (a) formulate analytic functional forms of differential equations for ADT angles and diabatic potential energy matrix and (b) solve the set of coupled differential equations numerically to evaluate ADT angles, residue due to singularity­(ies), ADT matrices, and finally, diabatic potential energy surfaces (PESs). …”
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  3. 63
    Assessment of CCD2PI on an independent dataset, and comparison with a sequence-based deep learning method.

    Assessment of CCD2PI on an independent dataset, and comparison with a sequence-based deep learning method. by Chloé Dequeker (4966165)

    Published 2022
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  4. 64
    Influence of the quality of the interface predictions on partner identification.

    Influence of the quality of the interface predictions on partner identification. by Chloé Dequeker (4966165)

    Published 2022
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  5. 65
    Influence of the parameters for PPDBv2 when considering predicted RIs.

    Influence of the parameters for PPDBv2 when considering predicted RIs. by Chloé Dequeker (4966165)

    Published 2022
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  6. 66
    Number of putative partners predicted by CCD2PI.

    Number of putative partners predicted by CCD2PI. by Chloé Dequeker (4966165)

    Published 2022
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  7. 67
    Partner identification for proteins where the predicted and experimental interfaces do not match (F1-score < 0.2).

    Partner identification for proteins where the predicted and experimental interfaces do not match (F1-score < 0.2). by Chloé Dequeker (4966165)

    Published 2022
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  8. 68
    Properties of the known interacting pairs.

    Properties of the known interacting pairs. by Chloé Dequeker (4966165)

    Published 2022
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  9. 69
    Assessment of CCD2PI on an independent dataset.

    Assessment of CCD2PI on an independent dataset. by Chloé Dequeker (4966165)

    Published 2022
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  10. 70
    Predictive performance on the PPDBv2.

    Predictive performance on the PPDBv2. by Chloé Dequeker (4966165)

    Published 2022
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  11. 71
    Predicted interaction matrices for the PPDBv2.

    Predicted interaction matrices for the PPDBv2. by Chloé Dequeker (4966165)

    Published 2022
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  12. 72
    Main hyper-parameters of CCD2PI.

    Main hyper-parameters of CCD2PI. by Chloé Dequeker (4966165)

    Published 2022
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  13. 73
    Comparison of cognate partners and competitors interfaces.

    Comparison of cognate partners and competitors interfaces. by Chloé Dequeker (4966165)

    Published 2022
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  14. 74
    Sensitivity of partner identification to approximations in the reference interfaces.

    Sensitivity of partner identification to approximations in the reference interfaces. by Chloé Dequeker (4966165)

    Published 2022
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  15. 75
    Examples of annotated and homology-transferred interactions.

    Examples of annotated and homology-transferred interactions. by Chloé Dequeker (4966165)

    Published 2022
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  16. 76
    Comparison with DPPI on PPDBv2.

    Comparison with DPPI on PPDBv2. by Chloé Dequeker (4966165)

    Published 2022
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  17. 77
    Principle of the method.

    Principle of the method. by Chloé Dequeker (4966165)

    Published 2022
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  18. 78
    An expectation-maximization algorithm for finding noninvadable stationary states.

    An expectation-maximization algorithm for finding noninvadable stationary states. by Robert Marsland (8616483)

    Published 2020
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  19. 79
    Discovery of Protein Modifications Using Differential Tandem Mass Spectrometry Proteomics

    Discovery of Protein Modifications Using Differential Tandem Mass Spectrometry Proteomics by Paolo Cifani (1575613)

    Published 2021
    “…Termed SAMPEI for spectral alignment-based modified peptide identification, this open-source algorithm is designed for the discovery of functional protein and peptide signaling modifications, without prior knowledge of their identities. …”
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  20. 80
    Discovery of Protein Modifications Using Differential Tandem Mass Spectrometry Proteomics

    Discovery of Protein Modifications Using Differential Tandem Mass Spectrometry Proteomics by Paolo Cifani (1575613)

    Published 2021
    “…Termed SAMPEI for spectral alignment-based modified peptide identification, this open-source algorithm is designed for the discovery of functional protein and peptide signaling modifications, without prior knowledge of their identities. …”
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