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Showing 401 - 420 results of 608 for search '(( algorithm python function ) OR ((( algorithm spread function ) OR ( algorithm fc function ))))', query time: 0.34s Refine Results
  1. 401
    DEGs and network analysis in blood from Stage 2 case versus healthy controls.

    DEGs and network analysis in blood from Stage 2 case versus healthy controls. by Peter Nambala (7245215)

    Published 2023
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  2. 402
    Data pre-processing and identification of DEGs.

    Data pre-processing and identification of DEGs. by Ziyang Liu (242055)

    Published 2025
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  3. 403
    Global Aridity Index and Potential Evapotranspiration (ET0) Database: Version 3.1

    Global Aridity Index and Potential Evapotranspiration (ET0) Database: Version 3.1 by Robert Zomer (12796235)

    Published 2025
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  4. 404
    Impact of the community structure strength (<i>μ</i>) in real-world networks.

    Impact of the community structure strength (<i>μ</i>) in real-world networks. by Stephany Rajeh (13513737)

    Published 2022
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  5. 405
    Impact of the community structure strength (<i>μ</i>) in real-world networks.

    Impact of the community structure strength (<i>μ</i>) in real-world networks. by Stephany Rajeh (13513737)

    Published 2022
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  6. 406
    Impact of the community structure strength (<i>μ</i>) in real-world networks.

    Impact of the community structure strength (<i>μ</i>) in real-world networks. by Stephany Rajeh (13513737)

    Published 2022
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  7. 407
    Impact of the community structure strength (<i>μ</i>) in real-world networks.

    Impact of the community structure strength (<i>μ</i>) in real-world networks. by Stephany Rajeh (13513737)

    Published 2022
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  8. 408
    Impact of the community structure strength (<i>μ</i>) in real-world networks.

    Impact of the community structure strength (<i>μ</i>) in real-world networks. by Stephany Rajeh (13513737)

    Published 2022
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  9. 409
    Impact of the community structure strength (<i>μ</i>) in real-world networks.

    Impact of the community structure strength (<i>μ</i>) in real-world networks. by Stephany Rajeh (13513737)

    Published 2022
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  10. 410
    Impact of the community structure strength (<i>μ</i>) in real-world networks.

    Impact of the community structure strength (<i>μ</i>) in real-world networks. by Stephany Rajeh (13513737)

    Published 2022
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  11. 411
    Impact of the community structure strength (<i>μ</i>) in real-world networks.

    Impact of the community structure strength (<i>μ</i>) in real-world networks. by Stephany Rajeh (13513737)

    Published 2022
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  12. 412
    Data_Sheet_1_Using support vector machine to explore the difference of function connection between deficit and non-deficit schizophrenia based on gray matter volume.docx

    Data_Sheet_1_Using support vector machine to explore the difference of function connection between deficit and non-deficit schizophrenia based on gray matter volume.docx by Wenjing Zhu (487218)

    Published 2023
    “…This study aimed to investigate the alterations of functional connectivity between DS and NDS based on the ROI obtained by machine learning algorithms and differential GMV. …”
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  13. 413
    GridScopeRodents: High-Resolution Global Typical Rodents Distribution Projections from 2021 to 2100 under Diverse SSP-RCP Scenarios

    GridScopeRodents: High-Resolution Global Typical Rodents Distribution Projections from 2021 to 2100 under Diverse SSP-RCP Scenarios by Yang Lan (20927512)

    Published 2025
    “…Using occurrence data and environmental variable, we employ the Maximum Entropy (MaxEnt) algorithm within the species distribution modeling (SDM) framework to estimate occurrence probability at a spatial resolution of 1/12° (~10 km). …”
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  14. 414
    Table_1_The Impact of Spatial Normalization Strategies on the Temporal Features of the Resting-State Functional MRI: Spatial Normalization Before rs-fMRI Features Calculation May Reduce the Reliability.DOCX

    Table_1_The Impact of Spatial Normalization Strategies on the Temporal Features of the Resting-State Functional MRI: Spatial Normalization Before rs-fMRI Features Calculation May R... by Zhao Qing (8041313)

    Published 2019
    “…We hypothesized that calculating the rs-fMRI features, for example, functional connectivity (FC), regional homogeneity (ReHo), or amplitude of low-frequency fluctuation (ALFF) in individual space, before the spatial normalization (referred to as “Postnorm”) can be an improvement to avoid artifacts and increase the results’ reliability. …”
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  15. 415
    SpatialKNifeY analysis landscape.

    SpatialKNifeY analysis landscape. by Shunsuke A. Sakai (13789939)

    Published 2025
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  16. 416
    Data_Sheet_5_Decreased default mode network functional connectivity with visual processing regions as potential biomarkers for delayed neurocognitive recovery: A resting-state fMRI study and machine-learning analysis.ZIP

    Data_Sheet_5_Decreased default mode network functional connectivity with visual processing regions as potential biomarkers for delayed neurocognitive recovery: A resting-state fMRI... by Zhaoshun Jiang (7478243)

    Published 2023
    “…Objectives<p>The abnormal functional connectivity (FC) pattern of default mode network (DMN) may be key markers for early identification of various cognitive disorders. …”
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  17. 417
    Data_Sheet_4_Decreased default mode network functional connectivity with visual processing regions as potential biomarkers for delayed neurocognitive recovery: A resting-state fMRI study and machine-learning analysis.ZIP

    Data_Sheet_4_Decreased default mode network functional connectivity with visual processing regions as potential biomarkers for delayed neurocognitive recovery: A resting-state fMRI... by Zhaoshun Jiang (7478243)

    Published 2023
    “…Objectives<p>The abnormal functional connectivity (FC) pattern of default mode network (DMN) may be key markers for early identification of various cognitive disorders. …”
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  18. 418
    Data_Sheet_3_Decreased default mode network functional connectivity with visual processing regions as potential biomarkers for delayed neurocognitive recovery: A resting-state fMRI study and machine-learning analysis.ZIP

    Data_Sheet_3_Decreased default mode network functional connectivity with visual processing regions as potential biomarkers for delayed neurocognitive recovery: A resting-state fMRI... by Zhaoshun Jiang (7478243)

    Published 2023
    “…Objectives<p>The abnormal functional connectivity (FC) pattern of default mode network (DMN) may be key markers for early identification of various cognitive disorders. …”
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  19. 419
    Data_Sheet_1_Decreased default mode network functional connectivity with visual processing regions as potential biomarkers for delayed neurocognitive recovery: A resting-state fMRI study and machine-learning analysis.ZIP

    Data_Sheet_1_Decreased default mode network functional connectivity with visual processing regions as potential biomarkers for delayed neurocognitive recovery: A resting-state fMRI... by Zhaoshun Jiang (7478243)

    Published 2023
    “…Objectives<p>The abnormal functional connectivity (FC) pattern of default mode network (DMN) may be key markers for early identification of various cognitive disorders. …”
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  20. 420
    Data_Sheet_1_Decreased default mode network functional connectivity with visual processing regions as potential biomarkers for delayed neurocognitive recovery: A resting-state fMRI study and machine-learning analysis.docx

    Data_Sheet_1_Decreased default mode network functional connectivity with visual processing regions as potential biomarkers for delayed neurocognitive recovery: A resting-state fMRI... by Zhaoshun Jiang (7478243)

    Published 2023
    “…Objectives<p>The abnormal functional connectivity (FC) pattern of default mode network (DMN) may be key markers for early identification of various cognitive disorders. …”
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