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significant clusters » significant cause (Expand Search), significant changes (Expand Search), significant factors (Expand Search)
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Showing 81 - 100 results of 24,145 for search '(( significant clusters based ) OR ( significant ((fold decrease) OR (point decrease)) ))', query time: 2.06s Refine Results
  1. 81
    Analysis of significant differences in ARG abundance for the geographical clusters in figure 3S.

    Analysis of significant differences in ARG abundance for the geographical clusters in figure 3S. by Markus H. K. Johansson (17241650)

    Published 2023
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  2. 82
    Analysis of significant differences in MGE abundance for the geographical clusters in figure 2S.

    Analysis of significant differences in MGE abundance for the geographical clusters in figure 2S. by Markus H. K. Johansson (17241650)

    Published 2023
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  3. 83
    Univariate LISA (Cluster and significance) maps depicting spatial clustering and spatial outliers of District Composite Health Profile (DCHP 5), based on NFHS-5.

    Univariate LISA (Cluster and significance) maps depicting spatial clustering and spatial outliers of District Composite Health Profile (DCHP 5), based on NFHS-5. by Bindhy Wasini Pandey (18794176)

    Published 2024
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  4. 84
    Univariate LISA (Cluster and significance) maps depicting spatial clustering and spatial outliers of District Composite Health Profile (DCHP5), based on NFHS-5.

    Univariate LISA (Cluster and significance) maps depicting spatial clustering and spatial outliers of District Composite Health Profile (DCHP5), based on NFHS-5. by Bindhy Wasini Pandey (18794176)

    Published 2024
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  5. 85
    Univariate LISA (Cluster and significance) maps depicting spatial clustering and spatial outliers of District Composite Health Profile (DCHP4), based on NFHS-4.

    Univariate LISA (Cluster and significance) maps depicting spatial clustering and spatial outliers of District Composite Health Profile (DCHP4), based on NFHS-4. by Bindhy Wasini Pandey (18794176)

    Published 2024
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  6. 86
    Univariate LISA (Cluster and significance) maps depicting spatial clustering and spatial outliers of District Composite Health Profile (DCHP4), based on NFHS-4.

    Univariate LISA (Cluster and significance) maps depicting spatial clustering and spatial outliers of District Composite Health Profile (DCHP4), based on NFHS-4. by Bindhy Wasini Pandey (18794176)

    Published 2024
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  7. 87
    Univariate LISA (Cluster and significance) maps depicting spatial clustering and spatial outliers of District Composite Health Profile (DCHP 5), based on NFHS-5.

    Univariate LISA (Cluster and significance) maps depicting spatial clustering and spatial outliers of District Composite Health Profile (DCHP 5), based on NFHS-5. by Bindhy Wasini Pandey (18794176)

    Published 2024
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  8. 88
    Univariate LISA (Cluster and significance) maps depicting spatial clustering and spatial outliers of District Composite Health Profile (DCHP4), based on NFHS-4.

    Univariate LISA (Cluster and significance) maps depicting spatial clustering and spatial outliers of District Composite Health Profile (DCHP4), based on NFHS-4. by Bindhy Wasini Pandey (18794176)

    Published 2024
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  9. 89
    Univariate LISA (Cluster and significance) maps depicting spatial clustering and spatial outliers of District Composite Health Profile (DCHP5), based on NFHS-5.

    Univariate LISA (Cluster and significance) maps depicting spatial clustering and spatial outliers of District Composite Health Profile (DCHP5), based on NFHS-5. by Bindhy Wasini Pandey (18794176)

    Published 2024
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  10. 90
    Statistically significant clusters for each contrast by the group analysis (n = 29).

    Statistically significant clusters for each contrast by the group analysis (n = 29). by Yuji Uchiyama (135480)

    Published 2021
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  11. 91
    Point-mass model.

    Point-mass model. by Guilong Xu (13281902)

    Published 2022
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  12. 92
    Clustering based on out-of-sample error.

    Clustering based on out-of-sample error. by James Anibal (13899712)

    Published 2022
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  13. 93
    Number of significantly significant (P < 0.05) differentially abundant (SSDA) proteins showing increased or decreased activity (fold change +/- 1.5-fold) relative to time 0 following storage at 9°C or 20°C of infective juveniles of <i>S</i>. <i>carpocapsae</i> or <i>H</i>. <i>megidis</i>.

    Number of significantly significant (P < 0.05) differentially abundant (SSDA) proteins showing increased or decreased activity (fold change +/- 1.5-fold) relative to time 0 following storage at 9°C or 20°C of infective juveniles of <i>S</i>.... by Peter E. Lillis (12368582)

    Published 2022
    “…<p>Number of significantly significant (P < 0.05) differentially abundant (SSDA) proteins showing increased or decreased activity (fold change +/- 1.5-fold) relative to time 0 following storage at 9°C or 20°C of infective juveniles of <i>S</i>. …”
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  14. 94
    Significant clusters of areas with high pre-lacteal feeding practice in Ethiopia, 2016.

    Significant clusters of areas with high pre-lacteal feeding practice in Ethiopia, 2016. by Achamyeleh Birhanu Teshale (8357232)

    Published 2021
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  15. 95
    Transcriptional and translational markers of syncytialization and biochemical differentiation are significantly decreased by rotenone.

    Transcriptional and translational markers of syncytialization and biochemical differentiation are significantly decreased by rotenone. by O’Llenecia S. Walker (8486163)

    Published 2020
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  16. 96
    Perioperative factors associated with differences in adjusted hospitalization costs; all displayed factors are significantly associated with increased or decreased adjusted costs.

    Perioperative factors associated with differences in adjusted hospitalization costs; all displayed factors are significantly associated with increased or decreased adjusted costs. by Saad Mallick (17283479)

    Published 2024
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  17. 97
    Hierarchical clustering-based heatmap of significantly differentiated proteins expressed in <i>M</i>. <i>exasperatus</i>.

    Hierarchical clustering-based heatmap of significantly differentiated proteins expressed in <i>M</i>. <i>exasperatus</i>. by Zafrir Kuplik (6569579)

    Published 2019
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  18. 98
    Hierarchical clustering-based heatmap of significantly differentiated proteins expressed in <i>P</i>. <i>mytiligera</i>.

    Hierarchical clustering-based heatmap of significantly differentiated proteins expressed in <i>P</i>. <i>mytiligera</i>. by Zafrir Kuplik (6569579)

    Published 2019
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  19. 99
    Summary of the significant cluster composition from the seed-based connectivity analysis of the olfactory region (covering ≥ 10% of the regions).

    Summary of the significant cluster composition from the seed-based connectivity analysis of the olfactory region (covering ≥ 10% of the regions). by Sadeq Mohammadi (22622219)

    Published 2025
    “…<p>Summary of the significant cluster composition from the seed-based connectivity analysis of the olfactory region (covering ≥ 10% of the regions).…”
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  20. 100
    Clustering results based on ward’s method.

    Clustering results based on ward’s method. by Karine Torosyan (17002113)

    Published 2023
    “…This study fills the gap by examining employment trends based on similarities between occupations.</p><p>Method</p><p>We first demonstrated a new method that clusters 756 occupation titles based on knowledge, skills, abilities, education, experience, training, activities, values, and interests. …”
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