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Showing 61 - 80 results of 156 for search '(((("decrease high") OR ("decrease i"))) OR ("increase high"))', query time: 0.77s Refine Results
  1. 61
    Effect of biologics on triglyceride outcomes of RA forest results.

    Effect of biologics on triglyceride outcomes of RA forest results. by Xiaodong Jia (783460)

    Published 2024
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  2. 62
    Forest plot of the effect of biologic therapy versus conventional therapy on low-density lipoprotein levels stratified by different drug treatments.

    Forest plot of the effect of biologic therapy versus conventional therapy on low-density lipoprotein levels stratified by different drug treatments. by Xiaodong Jia (783460)

    Published 2024
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  3. 63
    Forest plot of the effect of biologic therapy versus conventional therapy on total cholesterol levels stratified by different drug treatments.

    Forest plot of the effect of biologic therapy versus conventional therapy on total cholesterol levels stratified by different drug treatments. by Xiaodong Jia (783460)

    Published 2024
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  4. 64
    Basic characteristics of research.

    Basic characteristics of research. by Xiaodong Jia (783460)

    Published 2024
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  5. 65
    Forest plot of the effect of biologic therapy versus conventional therapy on triglyceride levels stratified by treatment duration.

    Forest plot of the effect of biologic therapy versus conventional therapy on triglyceride levels stratified by treatment duration. by Xiaodong Jia (783460)

    Published 2024
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  6. 66
    Forest plot of the effect of biologic therapy versus conventional therapy on triglyceride levels stratified by different drug treatments.

    Forest plot of the effect of biologic therapy versus conventional therapy on triglyceride levels stratified by different drug treatments. by Xiaodong Jia (783460)

    Published 2024
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  7. 67
    The clustering performance assessed by ACC.

    The clustering performance assessed by ACC. by HaiYun Wang (14279464)

    Published 2022
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  8. 68
    The clustering performance assessed by NMI.

    The clustering performance assessed by NMI. by HaiYun Wang (14279464)

    Published 2022
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  9. 69
    scDSSC is capable on simulation datasets.

    scDSSC is capable on simulation datasets. by HaiYun Wang (14279464)

    Published 2022
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  10. 70
    The results of cell visualization and trajectory inference on Macosko_mouse dataset.

    The results of cell visualization and trajectory inference on Macosko_mouse dataset. by HaiYun Wang (14279464)

    Published 2022
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  11. 71
    The details of scRNA-seq datasets used in paper.

    The details of scRNA-seq datasets used in paper. by HaiYun Wang (14279464)

    Published 2022
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  12. 72
    The results of marker genes and cell trajectory inference.

    The results of marker genes and cell trajectory inference. by HaiYun Wang (14279464)

    Published 2022
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  13. 73
    The clustering performance assessed by ARI.

    The clustering performance assessed by ARI. by HaiYun Wang (14279464)

    Published 2022
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  14. 74
    The cell visualization results on Human1 and Romanov datasets.

    The cell visualization results on Human1 and Romanov datasets. by HaiYun Wang (14279464)

    Published 2022
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  15. 75
    The results of cell visualization and annotation.

    The results of cell visualization and annotation. by HaiYun Wang (14279464)

    Published 2022
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  16. 76
    scDSSC is scalable and robust for batch effect.

    scDSSC is scalable and robust for batch effect. by HaiYun Wang (14279464)

    Published 2022
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  17. 77
    The cell visualization results on Human1 and Romanov datasets.

    The cell visualization results on Human1 and Romanov datasets. by HaiYun Wang (14279464)

    Published 2022
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  18. 78
    Network architecture of scDSSC.

    Network architecture of scDSSC. by HaiYun Wang (14279464)

    Published 2022
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  19. 79
    Flow chart of the study.

    Flow chart of the study. by Eun-Hee Nah (11751972)

    Published 2021
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  20. 80
    Prevalence of nonalcoholic steatohepatitis (NASH) and advanced liver fibrosis according to characteristics of the study subjects with fatty liver (N = 2,059).

    Prevalence of nonalcoholic steatohepatitis (NASH) and advanced liver fibrosis according to characteristics of the study subjects with fatty liver (N = 2,059). by Eun-Hee Nah (11751972)

    Published 2021
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