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significant clusters » significant cause (Expand Search), significant changes (Expand Search), significant factors (Expand Search)
clusters increase » causes increased (Expand Search), confers increase (Expand Search)
step decrease » sizes decrease (Expand Search), teer decrease (Expand Search), we decrease (Expand Search)
nn decrease » _ decrease (Expand Search), a decrease (Expand Search), mean decrease (Expand Search)
Showing 21 - 40 results of 10,377 for search '(( significant ((step decrease) OR (nn decrease)) ) OR ( significant clusters increase ))', query time: 1.24s Refine Results
  1. 21
    Definitions of treatment step classification.

    Definitions of treatment step classification. by Rieko Kondo (10010647)

    Published 2022
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  2. 22
    Entropy of clusters.

    Entropy of clusters. by Pramod Divakarmurthy (19207376)

    Published 2024
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  3. 23
    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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  4. 24
    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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  5. 25
    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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  6. 26
    Effect of step-by-step filling and compaction on the coarse aggregates.

    Effect of step-by-step filling and compaction on the coarse aggregates. by Zhijun Liu (35566)

    Published 2022
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  7. 27
    Results of the step-by-step filling test on the coarse aggregates.

    Results of the step-by-step filling test on the coarse aggregates. by Zhijun Liu (35566)

    Published 2022
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  8. 28
    Gradation of the fine aggregates determined by step-by-step filling.

    Gradation of the fine aggregates determined by step-by-step filling. by Zhijun Liu (35566)

    Published 2022
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  9. 29
    Gradation determined by the step-by-step filling test on the coarse aggregates.

    Gradation determined by the step-by-step filling test on the coarse aggregates. by Zhijun Liu (35566)

    Published 2022
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  10. 30
    Analysis of users by clusters.

    Analysis of users by clusters. by Pramod Divakarmurthy (19207376)

    Published 2024
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  11. 31
    Positional cloning of <i>qNN1</i> on chromosome 16.

    Positional cloning of <i>qNN1</i> on chromosome 16. by Xinxin Li (281237)

    Published 2022
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  12. 32
    Hierarchal clustering of the HDV and HBV datasets identified distinct temporal clusters.

    Hierarchal clustering of the HDV and HBV datasets identified distinct temporal clusters. by Braden S. Fallon (15353801)

    Published 2023
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  13. 33
    Algorithm operation steps.

    Algorithm operation steps. by Junyan Wang (4738518)

    Published 2025
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  14. 34
    Increasing the number of (T)GCATG motifs in clusters does not increase the gene isoform expression change.

    Increasing the number of (T)GCATG motifs in clusters does not increase the gene isoform expression change. by Francesco Tomassoni-Ardori (22216521)

    Published 2025
    “…Note the dramatic inverse correlation in the number of genes with eCLIP peaks as clusters have increased (T)GCATG motifs number. ** p ≤ 0.01; *** p-value≤ 0.00001; ns, non-significant.…”
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  15. 35
    Succinate and Sucnr1 levels were significantly increased.

    Succinate and Sucnr1 levels were significantly increased. by Jiaqi Wang (369548)

    Published 2025
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  16. 36
    User-Category cluster analysis.

    User-Category cluster analysis. by Pramod Divakarmurthy (19207376)

    Published 2024
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  17. 37
    Clustered mutations and cluster summary.

    Clustered mutations and cluster summary. by Bettina Meier (274833)

    Published 2021
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  18. 38
    Summary of significant submodules detected by the best performing FN and Spectral clustering algorithms.

    Summary of significant submodules detected by the best performing FN and Spectral clustering algorithms. by Zerrin Isik (5736857)

    Published 2022
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  19. 39
    <i>GmNN1/FT2a</i> expression analysis.

    <i>GmNN1/FT2a</i> expression analysis. by Xinxin Li (281237)

    Published 2022
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  20. 40
    The fraction of predicted heterozygotes that are set to “No Call” by RHA decreases as the size of the heterozygote cluster increases.

    The fraction of predicted heterozygotes that are set to “No Call” by RHA decreases as the size of the heterozygote cluster increases. by Orna Mizrahi-Man (42539)

    Published 2022
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