Showing 1 - 20 results of 87,663 for search '(( significant models based ) OR ( significant ((non decrease) OR (point decrease)) ))', query time: 1.44s Refine Results
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    Summary statistics from significant disease associations. by Margaret Sunitha Selvaraj (13994016)

    Published 2022
    “…The summary statistics from T2D and non-T2D models are tabulated, where the phenotypes are ordered based on T2D beta. …”
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    <i>BZP4</i> expression differs significantly between genotypes. by Thomas J. C. Sauters (17382864)

    Published 2023
    “…<p><b>A.</b> Points representing the difference in transcript abundance between conditions in transcript per million (TPM) in segregants with each parental allele under the chromosome 8 QTL. …”
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    Downregulation of DOM decreases the abundance of PER and TIM. by Zhenxing Liu (399809)

    Published 2019
    “…Error bars represent ± SEM; n.s., non significant,*<i>P</i> < 0.05,**p < 0.01, ***p < 0.001, one-way ANOVA. …”
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    The strength of the commute time-functional connectivity relationship demonstrates weak pathological significance and weak dependency on age. by Rostam M. Razban (22232522)

    Published 2025
    “…</b> Strengthening commute time-FC correlations shown in <b>B</b> seem to be driven by a decrease in average commute time across age. Note that all reported correlations are calculated by considering all data points, i.e., they are not calculated for the binned data.…”
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    AMPs are increased in lesional HS, but DCD and other sweat-gland associated proteins are decreased. by Margaret Coates (6058580)

    Published 2019
    “…Genes represented in orange were unchanged (FC < 2, p-adj < 0.05) in HS lesional vs. HS non-lesional skin. Non-adjusted p-values were used for generation of the volcano plot to minimize points with tied y-values but significance level was set using the corresponding non-adjusted p-values. …”
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    Residual test results based on FSAC model. by Jinxian Tang (15460795)

    Published 2023
    “…The FSAC model is more effective at fitting the concentration and dew point temperature of the Fenwei Plain in China because its mean square error (MSE) is significantly lower than that of the other models. …”
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