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significantly predicted » significantly reduced (Expand Search), significantly reduce (Expand Search), significant predictor (Expand Search)
predicted decrease » predicted secreted (Expand Search), reported decrease (Expand Search)
greatest decrease » treatment decreased (Expand Search), greater increase (Expand Search)
level decrease » levels decreased (Expand Search), level increased (Expand Search), teer decrease (Expand Search)
Showing 1 - 20 results of 9,786 for search '(( significantly predicted decrease ) OR ( significant ((level decrease) OR (greatest decrease)) ))', query time: 0.63s Refine Results
  1. 1
    Decreasing oxygen saturation with corresponding levels of NLR and D-dimer for understanding the interplay of inflammation.

    Decreasing oxygen saturation with corresponding levels of NLR and D-dimer for understanding the interplay of inflammation. by Narendran Gopalan (110148)

    Published 2025
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  2. 2
    Significant associations in GWAS.

    Significant associations in GWAS. by Dai Nogimura (21445649)

    Published 2025
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  3. 3
    Maximum IFN concentrations are decreased in severe patients.

    Maximum IFN concentrations are decreased in severe patients. by Sonia T. Gazeau (21512764)

    Published 2025
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  4. 4
    Cohesion characteristics and statistical significance analysis of different ingredients across IDDSI levels<sup>b'*'</sup>.

    Cohesion characteristics and statistical significance analysis of different ingredients across IDDSI levels<sup>b'*'</sup>. by Muxi Chen (9294270)

    Published 2025
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  5. 5
    Adhesion characteristics and statistical significance analysis of different ingredients across IDDSI levels<sup>b'*'</sup>.

    Adhesion characteristics and statistical significance analysis of different ingredients across IDDSI levels<sup>b'*'</sup>. by Muxi Chen (9294270)

    Published 2025
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  6. 6
    Hardness characteristics and statistical significance analysis of different ingredients across IDDSI levels<sup>b'*'</sup>.

    Hardness characteristics and statistical significance analysis of different ingredients across IDDSI levels<sup>b'*'</sup>. by Muxi Chen (9294270)

    Published 2025
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  7. 7
    eQTL analysis of significant SNPs.

    eQTL analysis of significant SNPs. by Dai Nogimura (21445649)

    Published 2025
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  8. 8
    Pan-cancer analyses of ACADM expression and its prognostic significance in the TCGA database.

    Pan-cancer analyses of ACADM expression and its prognostic significance in the TCGA database. by Yu Zhang (12946)

    Published 2025
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  9. 9
    Pan-cancer analyses of ANGPTL4 expression and its prognostic significance in the TCGA database.

    Pan-cancer analyses of ANGPTL4 expression and its prognostic significance in the TCGA database. by Yu Zhang (12946)

    Published 2025
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  10. 10
    Pan-cancer analyses of NFKB2 expression and its prognostic significance in the TCGA database.

    Pan-cancer analyses of NFKB2 expression and its prognostic significance in the TCGA database. by Yu Zhang (12946)

    Published 2025
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  11. 11
    Binary comparison matrix of increasing and decreasing trends in fire density from summer to autumn and comparison of different cases of spatial overlap of these spatial trends.

    Binary comparison matrix of increasing and decreasing trends in fire density from summer to autumn and comparison of different cases of spatial overlap of these spatial trends. by Peyman Karami (5909264)

    Published 2025
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  12. 12
    Distribution of the same ingredient across different IDDSI levels (Percentages and frequencies) and statistical significance analysis (Chi-square analysis).

    Distribution of the same ingredient across different IDDSI levels (Percentages and frequencies) and statistical significance analysis (Chi-square analysis). by Muxi Chen (9294270)

    Published 2025
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  13. 13
    Identification of ACADM, ANGPTL4, and NFKB2 as significant predictors of OS in the TCGA-KIRC cohort.

    Identification of ACADM, ANGPTL4, and NFKB2 as significant predictors of OS in the TCGA-KIRC cohort. by Yu Zhang (12946)

    Published 2025
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  14. 14
    Distribution of different ingredients at the same IDDSI level (Percentage and frequency) and statistical significance analysis (Chi-square test)<sup>b'*'</sup>.

    Distribution of different ingredients at the same IDDSI level (Percentage and frequency) and statistical significance analysis (Chi-square test)<sup>b'*'</sup>. by Muxi Chen (9294270)

    Published 2025
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  15. 15
    The top 20 candidate drugs demonstrating the most significant sensitivity differences between high- and low-GSRS subjects.

    The top 20 candidate drugs demonstrating the most significant sensitivity differences between high- and low-GSRS subjects. by Yu Zhang (12946)

    Published 2025
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  16. 16
    Increased NFKB2<sup>+</sup> cells and decreased ACADM<sup>+</sup> and ANGPTL4<sup>+</sup> cells were observed in KIRC tissues.

    Increased NFKB2<sup>+</sup> cells and decreased ACADM<sup>+</sup> and ANGPTL4<sup>+</sup> cells were observed in KIRC tissues. by Yu Zhang (12946)

    Published 2025
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  17. 17
    Aripiprazole significantly decreases phosphorylated Src (Y416) levels in dHL-60 cells.

    Aripiprazole significantly decreases phosphorylated Src (Y416) levels in dHL-60 cells. by Courtney A. Swain (15170264)

    Published 2025
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  18. 18
    Predicted probability of infection symptoms due to forest cover for 2011 and 2016.

    Predicted probability of infection symptoms due to forest cover for 2011 and 2016. by Amit Timilsina (15203538)

    Published 2025
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  19. 19
    Predicted confidence scores and 95% confidence intervals for the range of observed knowledge scores for barrier scores of 12, 23 and 36.

    Predicted confidence scores and 95% confidence intervals for the range of observed knowledge scores for barrier scores of 12, 23 and 36. by Lisa Thiele (6468056)

    Published 2025
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  20. 20
    PLB is a target gene of miRNA 221.

    PLB is a target gene of miRNA 221. by Hongyu Li (1332669)

    Published 2025
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