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significant decrease » significant increase (Expand Search), significantly increased (Expand Search)
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Showing 581 - 600 results of 21,342 for search '(( significance ((nn decrease) OR (step decrease)) ) OR ( significant decrease decrease ))', query time: 0.45s Refine Results
  1. 581
    Unsupervised clustering of TCGA-KIRC subjects based on glucocorticoid signaling-related genes.

    Unsupervised clustering of TCGA-KIRC subjects based on glucocorticoid signaling-related genes. by Yu Zhang (12946)

    Published 2025
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  2. 582
    Detail of the personalized-enhanced GCN.

    Detail of the personalized-enhanced GCN. by Yuanming Ding (12842858)

    Published 2025
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  3. 583
    Performance comparison of different models on PeMSD4 and PeMSD8 at different forecasting interval.

    Performance comparison of different models on PeMSD4 and PeMSD8 at different forecasting interval. by Yuanming Ding (12842858)

    Published 2025
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  4. 584
    Enhanced multi-component module.

    Enhanced multi-component module. by Yuanming Ding (12842858)

    Published 2025
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  5. 585
    The architecture of the TCBiL.

    The architecture of the TCBiL. by Yuanming Ding (12842858)

    Published 2025
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  6. 586
    Comparative analysis of predictive performance of different variant models.

    Comparative analysis of predictive performance of different variant models. by Yuanming Ding (12842858)

    Published 2025
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  7. 587
    PeMSD8.

    PeMSD8. by Yuanming Ding (12842858)

    Published 2025
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  8. 588
    Detail of the encoder.

    Detail of the encoder. by Yuanming Ding (12842858)

    Published 2025
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  9. 589
    Detail of the Fourier transform.

    Detail of the Fourier transform. by Yuanming Ding (12842858)

    Published 2025
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  10. 590
    Detail of the decoder.

    Detail of the decoder. by Yuanming Ding (12842858)

    Published 2025
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  11. 591
    Parameter sensitivity analysis results for <i>T</i><sub><i>h</i></sub> (PeMSD8 dataset, 1-hour prediction).

    Parameter sensitivity analysis results for <i>T</i><sub><i>h</i></sub> (PeMSD8 dataset, 1-hour prediction). by Yuanming Ding (12842858)

    Published 2025
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  12. 592
    Parameter sensitivity analysis results for <i>T</i><sub><i>w</i></sub> (PeMSD8 dataset, 1-hour prediction).

    Parameter sensitivity analysis results for <i>T</i><sub><i>w</i></sub> (PeMSD8 dataset, 1-hour prediction). by Yuanming Ding (12842858)

    Published 2025
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  13. 593
    Parameter sensitivity analysis results for <i>T</i><sub><i>d</i></sub> (PeMSD8 dataset, 1-hour prediction).

    Parameter sensitivity analysis results for <i>T</i><sub><i>d</i></sub> (PeMSD8 dataset, 1-hour prediction). by Yuanming Ding (12842858)

    Published 2025
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  14. 594
    Encoder-decoder architecture.

    Encoder-decoder architecture. by Yuanming Ding (12842858)

    Published 2025
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  15. 595
    PeMSD4.

    PeMSD4. by Yuanming Ding (12842858)

    Published 2025
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  16. 596
    Schematic diagram of the ESGCN-EDM model structure.

    Schematic diagram of the ESGCN-EDM model structure. by Yuanming Ding (12842858)

    Published 2025
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  17. 597
    Dataset description.

    Dataset description. by Yuanming Ding (12842858)

    Published 2025
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  18. 598
    Significant inter-relationships between baseline variables and MSCC or MCS.

    Significant inter-relationships between baseline variables and MSCC or MCS. by Harshit Arora (22008280)

    Published 2025
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  19. 599
    Average of % peptides counts for different classes of proteins at different germination time points and significant p-value indicated as compared to soaked sample (*p< 0.05, **p<0.01, ***p<0.001) for garbanzo trypsinised with shades of green showing increase and red showing decrease with respect to soaked.

    Average of % peptides counts for different classes of proteins at different germination time points and significant p-value indicated as compared to soaked sample (*p< 0.05, **p<0.01, ***p<0.001) for garbanzo trypsinised with shades of green showing increase and red showing decrease with respect to soaked. by Indrani Bera (804948)

    Published 2024
    “…<p>Average of % peptides counts for different classes of proteins at different germination time points and significant p-value indicated as compared to soaked sample (*p< 0.05, **p<0.01, ***p<0.001) for garbanzo trypsinised with shades of green showing increase and red showing decrease with respect to soaked.…”
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  20. 600
    Based on our time series data(first from the left), the visualizations of linear residual predictions under different decimation rates (next three) show that as the decimation rate decreases, the range of residual variations also becomes smaller.

    Based on our time series data(first from the left), the visualizations of linear residual predictions under different decimation rates (next three) show that as the decimation rate... by Hua Huo (1818133)

    Published 2025
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