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significant components » significant component (Expand Search), significant compared (Expand Search), significant improvements (Expand Search)
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Showing 1 - 20 results of 25,986 for search '(( significant components analysis ) OR ( significant ((nn decrease) OR (greater decrease)) ))', query time: 0.87s Refine Results
  1. 1
    Analysis of Significantly Different Bacteria.

    Analysis of Significantly Different Bacteria. by Xu Jia (187142)

    Published 2025
    “…<p>(A, B) Heatmap and Principal Component Analysis (PCA) of significantly different bacteria abundances at various taxonomic levels in all samples: phylum (top), genera (middle), and species (bottom). …”
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  2. 2
    The results of GO functional enrichment analysis (Annotation: The higher the value, the greater the importance).

    The results of GO functional enrichment analysis (Annotation: The higher the value, the greater the importance). by Lin Zhou (141050)

    Published 2023
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  3. 3
    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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  4. 4
    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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  5. 5
    Principal component analysis with varimax rotation—significant loadings.

    Principal component analysis with varimax rotation—significant loadings. by Rajneesh Kumar Joshi (6672557)

    Published 2019
    “…<p>Principal component analysis with varimax rotation—significant loadings.…”
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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
    Summary map of all contacts with statistically significant SVM classifications.

    Summary map of all contacts with statistically significant SVM classifications. by Alexander P. Rockhill (6053618)

    Published 2024
    “…<p>The top row presents the proportion of significant SVM clusters. It illustrates what proportions of channels are significant at that time-frequency ranging from 0 to 1. …”
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  8. 8
    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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  9. 9
    Analysis of the significance of the suppressor effect.

    Analysis of the significance of the suppressor effect. by Dámaris Cuadrado (9362227)

    Published 2024
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  10. 10
    Principal component analysis.

    Principal component analysis. by Euiseo Hong (21100909)

    Published 2025
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  11. 11
    Principal component analysis (PCA) of the characteristics of beef sausages containing different fat types and cooked at different temperatures.

    Principal component analysis (PCA) of the characteristics of beef sausages containing different fat types and cooked at different temperatures. by Kazeem Dauda Adeyemi (21181818)

    Published 2025
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  12. 12
    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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  13. 13
    Component matrix of principal component analysis.

    Component matrix of principal component analysis. by Qinhui Zhang (763125)

    Published 2024
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  14. 14
    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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  15. 15
    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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  16. 16
    Significant SNPs for yield and yield components in all analysis based on 1000 permutation threshold.

    Significant SNPs for yield and yield components in all analysis based on 1000 permutation threshold. by Yan Yang (33204)

    Published 2020
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  17. 17
    Principal component analysis.

    Principal component analysis. by Axel Schmidt (652713)

    Published 2024
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  18. 18
    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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  19. 19
    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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  20. 20
    Principal Component Analysis (PCA).

    Principal Component Analysis (PCA). by Sangwoo Seok (22033114)

    Published 2025
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