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Showing 1 - 14 results of 14 for search '"compositional data using"', query time: 0.11s Refine Results
  1. 1
    Runtime and sensitivity to of the iLV Algorithm using real datasets.

    Runtime and sensitivity to of the iLV Algorithm using real datasets. by Yue Huang (285485)

    Published 2025
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  2. 2
    Average cosine similarity of interaction coefficients (<i>b</i><sub>ij</sub>) where under varying time intervals (Δt) and noise levels for different methods, using simulated datasets that reflect periodic oscillations among three species.

    Average cosine similarity of interaction coefficients (<i>b</i><sub>ij</sub>) where under varying time intervals (Δt) and noise levels for different methods, using simulated datase... by Yue Huang (285485)

    Published 2025
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  3. 3
    Predicted abundance trajectory and interactions of the cheese microbial community.

    Predicted abundance trajectory and interactions of the cheese microbial community. by Yue Huang (285485)

    Published 2025
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  4. 4
    Trajectory Root Mean Square Error (RMSE) distributions of three optimization methods: (A) SQ refers to leastsq(), (B) LM refers to least_squares(method = ‘lm’), and (C) TRF refers to least_squares(method=’trf’).

    Trajectory Root Mean Square Error (RMSE) distributions of three optimization methods: (A) SQ refers to leastsq(), (B) LM refers to least_squares(method = ‘lm’), and (C) TRF refers... by Yue Huang (285485)

    Published 2025
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  5. 5
    Comparison of predicted and observed relative abundance trajectories for <i>Stylonychia pustulata</i> and <i>P. caudatum.</i>

    Comparison of predicted and observed relative abundance trajectories for <i>Stylonychia pustulata</i> and <i>P. caudatum.</i> by Yue Huang (285485)

    Published 2025
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  6. 6
    The cosine similarity of interaction coefficients (<i>b</i><sub>ij</sub>) where under varying time intervals (Δt) and self-interaction levels for different methods, using simulated datasets that reflect stabilizing systems of three species.

    The cosine similarity of interaction coefficients (<i>b</i><sub>ij</sub>) where under varying time intervals (Δt) and self-interaction levels for different methods, using simulated... by Yue Huang (285485)

    Published 2025
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  7. 7
    Average cosine similarity of interaction coefficients (<i>b</i><sub>ij</sub>) where under varying time intervals (Δt) and noise levels for different methods, using simulated datasets that reflect a stabilizing system of three species.

    Average cosine similarity of interaction coefficients (<i>b</i><sub>ij</sub>) where under varying time intervals (Δt) and noise levels for different methods, using simulated datase... by Yue Huang (285485)

    Published 2025
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  8. 8
    Comparison of predicted and observed relative abundance trajectories for snowshoe hare-Canadian lynx.

    Comparison of predicted and observed relative abundance trajectories for snowshoe hare-Canadian lynx. by Yue Huang (285485)

    Published 2025
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  9. 9
    Two subroutines of the iLV Algorithm jointly improve parameter estimation.

    Two subroutines of the iLV Algorithm jointly improve parameter estimation. by Yue Huang (285485)

    Published 2025
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  10. 10
    pcbi.1013691.t009 -

    pcbi.1013691.t009 - by Yue Huang (285485)

    Published 2025
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  11. 11
    The cosine similarity of interaction coefficients (<i>b</i><sub>ij</sub>) where under varying time intervals (Δt) and self-interaction levels for different methods, using simulated datasets that reflect periodic oscillations among three species.

    The cosine similarity of interaction coefficients (<i>b</i><sub>ij</sub>) where under varying time intervals (Δt) and self-interaction levels for different methods, using simulated... by Yue Huang (285485)

    Published 2025
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  12. 12
    Runtime and sensitivity to of the iLV Algorithm using simulated datasets.

    Runtime and sensitivity to of the iLV Algorithm using simulated datasets. by Yue Huang (285485)

    Published 2025
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  13. 13
    Average cosine similarity of interaction coefficients (<i>b</i><sub>ij</sub>) where under varying time ranges (t) and noise levels for different methods, using simulated datasets that reflect periodic oscillations among three species.

    Average cosine similarity of interaction coefficients (<i>b</i><sub>ij</sub>) where under varying time ranges (t) and noise levels for different methods, using simulated datasets t... by Yue Huang (285485)

    Published 2025
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  14. 14
    Average cosine similarity of interaction coefficients (<i>b</i><sub>ij</sub>) where under varying time ranges (t) and noise levels for different methods, using simulated datasets that reflect a stabilizing system of three species.

    Average cosine similarity of interaction coefficients (<i>b</i><sub>ij</sub>) where under varying time ranges (t) and noise levels for different methods, using simulated datasets t... by Yue Huang (285485)

    Published 2025
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