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significant component » significant amount (Expand Search)
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Showing 1 - 20 results of 10,641 for search '(( significant component analyses ) OR ( significant ((nn decrease) OR (greater decrease)) ))', query time: 1.31s Refine Results
  1. 1
    Patients with high baseline gut richness and diversity have significantly greater decreases in diversity over time.

    Patients with high baseline gut richness and diversity have significantly greater decreases in diversity over time. by Molly B. El Alam (10231830)

    Published 2021
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  2. 2
    IRI group exhibited a significantly greater decrease in proportion of gambles accepted compared to the IRI group in the second block.

    IRI group exhibited a significantly greater decrease in proportion of gambles accepted compared to the IRI group in the second block. by Yasuhiro Mochizuki (3308349)

    Published 2024
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  3. 3
    Principal component analyses indicates no significant separation based on the type of brain regions.

    Principal component analyses indicates no significant separation based on the type of brain regions. by Marcell Miski (11965487)

    Published 2022
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  4. 4
    Significance analyses of the differences in the average values of the four groups.

    Significance analyses of the differences in the average values of the four groups. by Tao Chang (3383150)

    Published 2022
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  5. 5
    The significant results of LDSC and MR analyses for the significant phenotypic pairs.

    The significant results of LDSC and MR analyses for the significant phenotypic pairs. by Ting Fu (468057)

    Published 2024
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  6. 6
    NN analysis to assign the importance of variables.

    NN analysis to assign the importance of variables. by Sulmaz Ghahramani (3387635)

    Published 2022
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  7. 7
    Principal component analyses plot.

    Principal component analyses plot. by Sigri Bakken Sperstad (15419097)

    Published 2023
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  8. 8
    Significant herbal components of Yishen decoction after screening.

    Significant herbal components of Yishen decoction after screening. by Jingai Fang (10051760)

    Published 2022
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  9. 9
    The results of four principal component analyses for traits.

    The results of four principal component analyses for traits. by Mehdi Rahimi (5398259)

    Published 2023
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  10. 10
    The significantly enriched GO terms related to cellular component.

    The significantly enriched GO terms related to cellular component. by Guohua Ji (436621)

    Published 2022
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  11. 11
    Codes used in principal component and heatmapper analyses.

    Codes used in principal component and heatmapper analyses. by Abdelkarim Ben Arfa (8479317)

    Published 2022
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  12. 12
    As compared to HD, RRMS and T1D patients show significantly greater preponderance of rs2281808 CT/TT carriers.

    As compared to HD, RRMS and T1D patients show significantly greater preponderance of rs2281808 CT/TT carriers. by Sushmita Sinha (348580)

    Published 2020
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  13. 13
    County-level geographical septile distribution for the first 12 statistically significant factors with at least one statistically significant coefficient ranked by decreasing ΔIC.

    County-level geographical septile distribution for the first 12 statistically significant factors with at least one statistically significant coefficient ranked by decreasing ΔIC. by Yanan Long (11784717)

    Published 2021
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  14. 14
    Energy efficiency variation across cities in the Greater Bay Area.

    Energy efficiency variation across cities in the Greater Bay Area. by YanFei Lei (19532983)

    Published 2024
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  15. 15
    Regression analyses on numerical skills without explicit verbal component.

    Regression analyses on numerical skills without explicit verbal component. by Carrie Georges (9459893)

    Published 2023
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  16. 16
    Principal Component Analyses of the Semu Market full dataset.

    Principal Component Analyses of the Semu Market full dataset. by Dana Venditti Mitchell (20297836)

    Published 2024
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  17. 17
    Principal component analyses of HRV, VAS for fatigue, and POMS2.

    Principal component analyses of HRV, VAS for fatigue, and POMS2. by Hiroaki Yoshikawa (4615801)

    Published 2025
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  18. 18
    Principal component analyses for significant variables during the <i>preparation</i> and <i>action</i> phases of the drop jump test.

    Principal component analyses for significant variables during the <i>preparation</i> and <i>action</i> phases of the drop jump test. by Helena Grip (7610468)

    Published 2019
    “…<p>Principal component analyses for significant variables during the <i>preparation</i> and <i>action</i> phases of the drop jump test.…”
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  19. 19
    Negative ion mode significant differential metabolites (Fold Change greater than 2 or less than 0.5).

    Negative ion mode significant differential metabolites (Fold Change greater than 2 or less than 0.5). by Peng-fei Han (694841)

    Published 2025
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  20. 20
    Positive ion mode significant differential metabolites (Fold Change greater than 2 or less than 0.5).

    Positive ion mode significant differential metabolites (Fold Change greater than 2 or less than 0.5). by Peng-fei Han (694841)

    Published 2025
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